DateTimeEventLocationNotes
12.07.202415:00-15:40Marcel Mittenbuehler, M.Sc. Thesis Defense: Parameter-Efficient Adaptation of Multimodal Multitask Diffusion PoliciesE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/tfq-xfjm-zcw\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
12.07.202414:20-14:40Jonathan Kinzel, M.Sc. Intermediate Presentation: On-robot Deep Reinforcement Learning for Quadruped LocomotionE202+http://talks.robot-learning.net
12.07.202414:00-14:20Qiao Sun, M.Sc. Intermediate Presentation: Grasp Diffusion NetworkE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/sfj-asbj-svz\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
28.06.202414:00-14:30Tristan Tisch, M.Sc. Intermediate Presentation: Dynamic Multi-Agent Reward SharingE202+http://talks.robot-learning.net
21.06.202415:00-16:00Yichen Cai, Invited Talk: Visual Imitation Learning of Task-Oriented Object Grasping and RearrangementE202+http://talks.robot-learning.net
21.06.202414:00-15:00Nico Bohlinger, Research Talk: Learning Multi-Embodiment LocomotionE202+http://talks.robot-learning.net
20.06.202414:00-15:00Rodrigo Perez Dattari (TU Delft), Invited Talk: Generalizable Robotic Imitation Learning: Interactive Learning and Inductive BiasE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/mnb-sugm-wgf\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
14.06.202415:30-16:00Arsenii Mustafin (Boston University), Invited Talk: Geometry and Normalization of an MDPE202+http://talks.robot-learning.net
14.06.202415:15-15:30Martin Steinborn, M.Sc. Intermediate Presentation: Multi-Person Pose Tracking Using Dynamically Gated SimilaritiesE202+http://talks.robot-learning.net
14.06.202415:00-15:15Haoran Ding, M.Sc. Intermediate Presentation: Safe Flow-based Robot Motion PoliciesE202+http://talks.robot-learning.net
14.06.202414:00-15:00Matteo Luperto (UniMI), Invited Talk: Towards long-term autonomy for indoor mobile robotsE202+http://talks.robot-learning.net
11.06.202414:00-14:15Dennis Schlee, M.Sc. Thesis Defense: Control Strategies for a Rimless Wheel Micro-RoverE202+http://talks.robot-learning.net
7.06.202415:15-15:45Changqi Chen, M.Sc. Intermediate Presentation: Learning Tactile Manipulation Policies from Human Demonstrationshttp://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/gzi-vyyo-sqc\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
7.06.202414:45-15:15Yasemin Göksu, M.Sc. Intermediate Presentation: Robotic Pouring with Self-supervised Learning from Video DemonstrationE202+http://talks.robot-learning.net
7.06.202414:00-14:45Yashom Dighe (University at Buffalo), Invited Talk: MPC for Real-World Racing and BeyondE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/nuq-saio-wod\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
31.05.202414:45-15:15Marc Saghir, B.Sc. Thesis Defense: Ensemble Methods for Visual Anomaly Detection in Manufacturing SettingsE202+http://talks.robot-learning.net
31.05.202414:00-14:45David Rother, Research Talk: Implicitly Cooperative Agents in Open SystemsE202+http://talks.robot-learning.net
29.05.202415:00-15:30Caio Freitas, M.Sc. Thesis Defense: Graph Diffusion for Imitation Learning in RoboticsE202+http://talks.robot-learning.net
24.05.202415:00-15:30Zeyuan Sun, Research Talk: A sample trajectory from my future life distribution (internal only)E202+http://talks.robot-learning.net
24.05.202414:30-15:00Julian Rau, M.Sc. Thesis Defense: Diffusing Assemblies - Leveraging Diffusion Models for 3D Robotic Assemblyhttp://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/mer-habv-atj\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
24.05.202414:00-14:20Dominik Horstkötter, B.Sc. Thesis Defense: InsertionNet for Autonomous Assembly of Interlocking BlocksE202+http://talks.robot-learning.net
10.05.202414:00-15:00Fabian Damken, M.Sc. Thesis Intermediate Presentation: Learning Admissible and Monotone Heuristics for A*E202+http://talks.robot-learning.net
3.05.202414:00-15:00Tim Franzmeyer (Oxford University), Invited Talk: Extracting Reward Functions from Diffusion ModelsE202+http://talks.robot-learning.net
2.05.202414:00-15:00Zhang-Wei Hong (MIT), Invited Talk: Reconciling Heuristic with Reinforcement Learning: Algorithms and ApplicationsE202+http://talks.robot-learning.net
29.04.202416:00-17:00Karl Worthmann (TU Illmenau), Invited Talk: Data-Driven Controller Design for Nonlinear Systems Using EDMD in the Koopman FrameworkS3|10 406A
19.04.202415:00-15:30Phani Teja Singamaneni (LAAS-CNRS), Invited Talk: Robot Navigation in Human Spaces - Planning, Learning and ControlE202+http://talks.robot-learning.net
19.04.202414:30-15:00Jiacheng Qiu, Research Talk: Vision-based 3D Trajectory Prediction for Agile Aerial VehiclesE202+http://talks.robot-learning.net
19.04.202414:00-14:30Henri Geiss, M.Sc. Thesis Defense: Inverse Reinforcement Learning for Musculoskeletal Control of Humanoid LocomotionE202+http://talks.robot-learning.net
17.04.202415:20-16:20Tomaso Poggio (MIT), Invited Talk: The Computable Mathematics of IntelligenceDepartment of Human Sciences, S1/15, Alexanderstr. 10, Room 133 , 64283 Darmstadt
12.04.202414:00-14:45Theo Vincent, Research Talk: Rethinking Approximate Value Iteration algorithmsE202+http://talks.robot-learning.net
10.04.202414:00-15:00Genki Miyauchi (U. Sheffield), Invited Talk: Multi-Operator Control of Connectivity-Preserving Robot SwarmsRoom 2.2.21 (EmergenCITY Besprechungsraum), S4|14 (Mornewegstraße 30-32)
9.04.202415:00-15:30Yongjian Tang (Huawei), Invited Talk: Named Entity Recognition Using Foundation Large Language Models for Industrial DomainsA102
15.03.202414:00-14:30Andranik Aristakesyan, M.Sc. Thesis Defense: Analyzing Sparse Attention in Reinforcement Learning for Continuous Control: Alpha-EntMax and Attention Masking for Morphology-Aware Decision MakingE202+http://talks.robot-learning.net
8.03.202414:30-14:45Jonas Ringsdorf, M.Sc. Intermediate Presentation: Diverse Value Oriented Populations for Multi-Agent TrainingE202+http://talks.robot-learning.net
8.03.202414:00-14:30Fabian Wahren, M.Sc. Thesis Defense: Adapt your network: Investigating neural network’s architecture in Q-learning methods.E202+http://talks.robot-learning.net
1.03.202414:00-14:45Lisa Scherf, Research Talk: Learning from Human TeachersE202+http://talks.robot-learning.net
23.02.202415:00-15:45Yufeng Jin (PEARL), Research Talk: Perception Enhancement for TeleoperationE202+http://talks.robot-learning.netOnly in person
23.02.202414:30-15:00Tobias Niehues, M.Sc. Thesis Defense: Approximate Bayesian Inference of Parametric Cost Functions in Inverse Decision MakingE202+http://talks.robot-learning.net
23.02.202414:00-14:30Alap Kshirsagar, Research Talk: Learning Human-Robot Interaction and Tactile PerceptionE202+http://talks.robot-learning.net
16.02.202414:45-15:00Julian Rau, M.Sc. Intermediate Presentation: Diffusing Assemblies - Leveraging Diffusion Models for 3D Robotic Assemblyhttp://talks.robot-learning.net
16.02.202414:00-14:45Sahel Iqbal (Aalto University), Invited Talk: Policy Optimization with Markovian Score Climbinghttp://talks.robot-learning.net
2.02.202413:30-14:30Roderich Gross (TUDa), Invited Talk: Advances and challenges in massively distributed roboticsE202+http://talks.robot-learning.net
24.01.202416:15-17:15Holger Froening (Heidelberg University), Invited Talk: On Accelerating Deep and Bayesian Neural ArchitecturesS220/9 (Cysec Building), and http://tinyurl.com/58fc6b5a
19.01.202415:30-16:00Xiaolin Lin, M.Sc. Thesis Defense: Efficient Query-based Instance Segmentation via Sampling-based ApproachE202+http://talks.robot-learning.net
19.01.202415:00-15:30Han Gao, M.Sc. Thesis Defense: AffordanceParts: Learning Explainable Object Parts with Invertible Neural NetworksE202+http://talks.robot-learning.net
19.01.202414:00-15:00Moritz Grosse-Wentrup (Uni Wien), Invited Talk: Neuro-Cognitive Multilevel Causal Modeling - A Framework that Bridges the Explanatory Gap between Neuronal Activity and CognitionS202/C110 + http://talks.robot-learning.net
9.01.202417:30-18:30Wil Thomason (RICE), Invited Talk: Motions in Microseconds via Vectorized Sampling-Based Planninghttp://talks.robot-learning.net
5.01.202414:15-14:30Sebastian Müller, M.Sc. Thesis Defense: Visual illusions in sensorimotor control – a reinforcement learning studyE202+http://talks.robot-learning.net
5.01.202414:00-14:15Fabian Wahren, M.Sc. Intermediate Presentation: Adapt your network : Investigating neural network’s architecture in Q-learning methods.E202+http://talks.robot-learning.net
22.12.202314:00-14:30Peter Nickl (Riken), Invited Talk: The Memory Perturbation Equation: Understanding Model’s Sensitivity to Data (NeurIPS 2023)E202+http://talks.robot-learning.net
20.12.202315:30-16:00Philipp Seitz, M.Sc. Thesis Defense: Uncertainty Quantification for Vibration Time Series ForecastingA213Über Google Meet teilnehmen: https://meet.google.com/tmd-nsie-nps\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
20.12.202314:00-14:30Christian Hammacher, M.Sc. Thesis Defense: Object Pose Estimation and Manipulation from Pointclouds using Energy-based ModelsE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/bnb-tmbr-uky\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
19.12.202316:00-17:00Tommaso Lenzi (Utah), Invited Talk: Moving Robotic Legs from the Lab to the Real WorldRoom 29, S1|15, Alexanderstr. 10Dear LokoAssist members\,<br><br>I am pleased to announce our final biweekly seminar (19th Dec 2023) for this year by Prof. Tommaso Lenzi. The seminar will be online and the start time is shifted from the usual 2pm to 4pm to accommodate our speaker (please update in your calendars). More details are given below.<br><br>Title: Moving Robotic Legs from the Lab to the Real World<br><br>Speaker: Prof. Tommaso Lenzi<br><a href="https://faculty.utah.edu/u6009174-Tommaso_Lenzi/hm/index.hml">https://faculty.utah.edu /u6009174-Tommaso_Lenzi/hm/index.hml</a><br><br>When: 19th of December 2023 at 16:00<br>Where: The talk will be given online via Zoom. However\, a joint screening will/may be possible for people gathered for the Xmas party at Lauflabor Locomotion Lab\, Besprechungsraum (Room 29)\, S1|15\, Alexanderstr. 10\, 64283.<br><br>Zoom link:<br><br><a href="https://tu-darmstadt.zoom .us/j/68837403643">https://tu-darmstadt.zoom.us/j/68837403643</a><br><br>-- ------------------------------------------------<br><br>Speaker biography: Prof. Tommaso Lenzi received the MS degree in Biomedical Engineering from the University of Pisa in 2008\, and the PhD degree in BioRobotics from Scuola Superiore Sant’Anna in 2012. He is currently an Associate Professor in the Department of Mechanical Engineering at University of Utah\, and a Core Faculty in the Utah Robotics Center. Previously\, he was Research Scientist at the Rehabilitation Institute of Chicago (2015-2016)\, and a Postdoctoral Fellow at Northwestern University (2013-2014). He is a member of IEEE\, the Robotics and Automation Society (RAS)\, and the Engineering in Medicine and Biology Society(EMBS). Dr. Lenzi has co-authored more than 50 peer-reviewed scientific publications\, three book chapters\, and 7 patents. He serves as Associate Editor for the IEEE International Conferences on Rehabilitation Robotics (ICORR) and Biomedical Robotics and Biomechatronics (BIOROB). His main research interests include robotics\, mechatronics\, and rehabilitation medicine with a major emphasis on the design and control of wearable robots for human assistance and rehabilitation.<br><br>------------------- -------------------------------<br><br>Looking forward to see you all.<br><br><br><br><br>Thank you\, and best regards.<br><br>Muhammad<br><br><br>Faculty of Material Science<br>Department of Functional Materials<br>Technical University of Darmstadt<br>Peter-Grünberg-Str. 16<br>L2|07<br>64287 Darmstadt<br>Germany<br><br><br>E-mail: <a href="muhammad.khan3@tu-darmstadt.de">muhammad.khan3@tu-darmstadt.de</a>&lt\;<a href="andreas.taubel@tu-darmstadt.de">andreas.taubel@tu-darmstadt.de</a>&gt\;<br><br><a href="http://www.mawi.tu-darmstadt.de/fm">http://www.mawi.tu-darmstadt.de/fm</a><br><br><br><br>[LOGO] [<a href="https://anhaenge.mail.tu-darmstadt.de/owa/muhammad.khan3@tu-darmstadt.de/service.svc/s/GetFileAttachment?id=AAMkADIzNTRlZTg2LTFlMTctNDkzZS1hNThiLWQ3N2RjNThkMjJkMQBGAAAAAAAsZk7Ug88sR YxsaFx%2B32UaBwDSOG1zGV42Rb%2FrKLm14gLZAAAAAAEMAADSOG1zGV42Rb%2FrKLm14gLZAA AJ%2BgFcAAABEgAQANrvBi8DOmBBiVD7oKxQ%2FRc%3D&X-OWA-CANARY=ODOeZYJIEUujVI2uq 6BOZhCReoprydoIiKwUKcDsaUQc3zLQOboyo4R-ySXxwEqV8vrpINX7_2U.&token=eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiIsIng1dCI6IjNMVjI5MTlrem5zZ3J3S0ZROEZWTGk5ZVN0YyJ9 .eyJ2ZXIiOiJFeGNoYW5nZS5DYWxsYmFjay5WMSIsImFwcGN0eHNlbmRlciI6Ik93YURvd25sb2 FkQGFkcy50dS1kYXJtc3RhZHQuZGUiLCJhcHBjdHgiOiJ7XCJtc2V4Y2hwcm90XCI6XCJvd2FcIixcInByaW1hcnlzaWRcIjpcIlMtMS01LTIxLTc2NzY1ODI1OS0zNjIwODMxMjc3LTYzMTUyNTk5 OS0xNjA4NzBcIixcInB1aWRcIjpudWxsLFwib2lkXCI6XCJcIixcInNjb3BlXCI6XCJPd2FEb3dubG9hZFwifSIsImlzcyI6IjAwMDAwMDAyLTAwMDAtMGZmMS1jZTAwLTAwMDAwMDAwMDAwMEBhZH MudHUtZGFybXN0YWR0LmRlIiwiYXVkIjoiMDAwMDAwMDItMDAwMC0wZmYxLWNlMDAtMDAwMDAwM DAwMDAwL2FuaGFlbmdlLm1haWwudHUtZGFybXN0YWR0LmRlQGFkcy50dS1kYXJtc3RhZHQuZGUi LCJleHAiOjE2Njg3Nzk4NTksIm5iZiI6MTY2ODc3OTI1OX0.Wc3hp9IdwHjBMU7_RppB8jzSJudm8fmlwT69Ak1ZdFwsBLOR7B265xv7RVI7FbE2sgiU2A0l3GV42o3QdKpJ3TQP0-r5GV33cPh0Br I229ZFj7PdNvqohHgBvg8HOZQIqWEbyHZcmTEp6ocAd96mVkzAhK5NRVk_Bcr0Fa-CKEcd11yO-noXSyWoXtDWwoGR5T0Mt42E2Q6OUu1pN2JUo5fhORDS4DL2fjDeubfHDzRxRzySZMvvG0yl9Dr8 QZ6iHZ3rcTFIqW7eqGsUE_O5UGFlYA1E4xPj9X4t1-KVEOlrX6OsyiscSs5eF6sjU8YJ1RA-wQi UA_VjvPWw8TNI1A&owa=mail.tu-darmstadt.de&isImagePreview=True">https://anhaenge.mail.tu-darmstadt.de/owa/muhammad.khan3@tu-darmstadt.de/service.svc/s/GetFileAttachment?id=AAMkADIzNTRlZTg2LTFlMTctNDkzZS1hNThiLWQ3N2RjNThkMjJkMQB GAAAAAAAsZk7Ug88sRYxsaFx%2B32UaBwDSOG1zGV42Rb%2FrKLm14gLZAAAAAAEMAADSOG1zGV 42Rb%2FrKLm14gLZAAAJ%2BgFcAAABEgAQANrvBi8DOmBBiVD7oKxQ%2FRc%3D&amp\;X-OWA-C ANARY=ODOeZYJIEUujVI2uq6BOZhCReoprydoIiKwUKcDsaUQc3zLQOboyo4R-ySXxwEqV8vrpI NX7_2U.&amp\;token=eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiIsIng1dCI6IjNMVjI5MTlrem5zZ3J3S0ZROEZWTGk5ZVN0YyJ9.eyJ2ZXIiOiJFeGNoYW5nZS5DYWxsYmFjay5WMSIsImFwcG N0eHNlbmRlciI6Ik93YURvd25sb2FkQGFkcy50dS1kYXJtc3RhZHQuZGUiLCJhcHBjdHgiOiJ7X CJtc2V4Y2hwcm90XCI6XCJvd2FcIixcInByaW1hcnlzaWRcIjpcIlMtMS01LTIxLTc2NzY1ODI1 OS0zNjIwODMxMjc3LTYzMTUyNTk5OS0xNjA4NzBcIixcInB1aWRcIjpudWxsLFwib2lkXCI6XCJcIixcInNjb3BlXCI6XCJPd2FEb3dubG9hZFwifSIsImlzcyI6IjAwMDAwMDAyLTAwMDAtMGZmMS 1jZTAwLTAwMDAwMDAwMDAwMEBhZHMudHUtZGFybXN0YWR0LmRlIiwiYXVkIjoiMDAwMDAwMDItM DAwMC0wZmYxLWNlMDAtMDAwMDAwMDAwMDAwL2FuaGFlbmdlLm1haWwudHUtZGFybXN0YWR0LmRl QGFkcy50dS1kYXJtc3RhZHQuZGUiLCJleHAiOjE2Njg3Nzk4NTksIm5iZiI6MTY2ODc3OTI1OX0 .Wc3hp9IdwHjBMU7_RppB8jzSJudm8fmlwT69Ak1ZdFwsBLOR7B265xv7RVI7FbE2sgiU2A0l3G V42o3QdKpJ3TQP0-r5GV33cPh0BrI229ZFj7PdNvqohHgBvg8HOZQIqWEbyHZcmTEp6ocAd96mVkzAhK5NRVk_Bcr0Fa-CKEcd11yO-noXSyWoXtDWwoGR5T0Mt42E2Q6OUu1pN2JUo5fhORDS4DL2fjDeubfHDzRxRzySZMvvG0yl9Dr8QZ6iHZ3rcTFIqW7eqGsUE_O5UGFlYA1E4xPj9X4t1-KVEOlrX6OsyiscSs5eF6sjU8YJ1RA-wQiUA_VjvPWw8TNI1A&amp\;owa=mail.tu-darmstadt.de&amp\;isImagePreview=True</a>]<br><br>&lt\;<a href="https://www.mawi.tu-darmstadt.de/fm/index.en.jsp">https://www.mawi.tu-darmstadt.de/fm/index.en.jsp</a>&gt\;<br><br><br>The information contained in this electronic communication\, including any attachments\, is confidential information\, is intended only for the use of the recipients named above\, and may be legally privileged. If the reader of this message is not an intended recipient\, you are hereby notified that any review\, use\, dissemination\, distribution or copying of this communication\, or any of its contents\, is strictly prohibited . If you have received this communication in error\, please notify us immediately of the error by return e-mail and please permanently remove the original message and any copy of it from your system.
18.12.202316:00-18:30Julen Urain, Ph.D. Thesis Defense: Deep Generative Models for Motion Planning and ControlA102
18.12.202314:00-15:00Katerina Fragkiadaki (CMU), Invited Talk: Robot Learning with Generative Models: Training data creation, policy learning and test-time planning with image and action trajectory diffusion models.A102
15.12.202314:00-14:30Fabian Hahne, B.Sc. Thesis Defense: Hierarchical Hidden Markov Models for Interaction Segmentation and LearningE202+http://talks.robot-learning.net
1.12.202316:00-18:00Vignesh Prasad, Ph.D. Thesis Defense: Learning Human-Robot Interaction: A Case Study on Human-Robot HandshakingE202+http://talks.robot-learning.net
24.11.202314:00-14:30Niklas Kappes, M.Sc. Thesis Defense: Natural Gradient Optimistic Actor CriticE202+http://talks.robot-learning.net
10.11.202314:00-15:00Vignesh Prasad, Research Talk: Learning Human-Robot Interaction: A Case Study on Human-Robot HandshakingE202+http://talks.robot-learning.net
7.11.202315:00-18:00Pascal Klink, Ph.D. Thesis Defense: Reinforcement Learning Curricula as Paths between Task Distributionspascal-klink-defense.robot-learning.netLinjk pascal-klink-defense.robot-learning.net forwards to \n\nhttps://tu-darmstadt.zoom-x.de/j/65615554265?pwd=RGxMMlAzUjIrVTB0ZnBBOTJ5RVkxUT09\n\nMeeting-ID: 656 1555 4265\nKenncode: 810991\n\nZoom LInk created by Oskar von Stryk
6.11.202314:00-15:00Koh Hosoda (Kyoto Univ), Invited Talk: Adaptive Locomotion of Robots and HumansAlexander str. 10, room 29
3.11.202314:30-15:00Mahdi Kallel, Research Talk: Augmented Bayesian Policy SearchS2|02 E202 or http://talks.robot-learning.net
3.11.202314:00-14:25Simon Eisenmann (TUM), Invited Talk: Quantum Machine LearningE202+http://talks.robot-learning.net
3.11.202313:00-13:30Simone Schaub-Meyer, Research Talk: Efficient and Understandable Neural Networks for Visual PerceptionB002 and https://tu-darmstadt.zoom-x.de/j/69744027576?pwd=WkE1TEp SdlY5Z001RWVTbEcxYWlnZz09Friday\, November 3rd\, 13:00 to 13:30 o’clock\n\nPiloty Buildung TUDa\, B002\n\nor via Zoom:\n\nhttps://tu-darmstadt.zoom-x.de/j/69744027 576?pwd=WkE1TEpSdlY5Z001RWVTbEcxYWlnZz09\n\nMeeting-ID: 697 4402 7576\nKenncode: 160969\n
27.10.202315:45-16:15Hannes Mittwollen, B.Sc. Thesis Defense: Detection and 6D-pose estimation of objects with sparse training dataE202+http://talks.robot-learning.net
27.10.202315:00-15:45Antoine Grosnit, Research Talk: Bayesian optimization and morphology-based policy training: when good priors lead to sample efficiency.E202+http://talks.robot-learning.net
27.10.202314:00-15:00Guillaume Duret, Research Talk: Large-Scale Dataset and Benchmark Generation for RoboticsE202+http://talks.robot-learning.net
23.10.202316:00-19:00Andreas Look, Ph.D. Thesis Defense: Deterministic Approximations for Deep State-Space ModelsE202+http://talks.robot-learning.net----( Video Call )----\nhttp://talks.robot-learning.net\n---=== ---
20.10.202314:00-15:00Saumya Saxena (CMU), Invited Talk: Learning generalizable robot skills for reactive control of dynamic and interactive tasksE202 and http://talks.robot-learning.net
19.10.202314:00-14:30Lucas Schulze, Applicant Talk: Model predictive control application for mobile roboticsE202+http://talks.robot-learning.net
19.10.202313:30-14:00Maximilian Langer, M.Sc. Thesis Defense: Energy-based Models for 6 D Object Pose EstimationE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/duj-yjhe-ywa\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
18.10.202317:00-20:00Hamish Flynn, Ph.D. Thesis Defense: PAC-Bayes Bounds for Bandits: Algorithms and GuaranteesS1|03 Hochschulstr. 1 Room 07 and http://talks.robot-learning.net----( Video Call )----\nhttp://talks.robot-learning.net\n---=== ---
18.10.202315:20-17:00CCSC - Eli Brennerhttps://tu-darmstadt.zoom.us/j/82363067583?pwd=c3A4OERoenRvNGorRHEyRmtSenRjdz09Guiding movements by constantly reconsidering one's actions
13.10.202314:45-15:15Johannes Heeg, M.Sc. Thesis Defense: Task Space Exploration in Robot Reinforcement LearningE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/qjd-ngmm-wmh\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
13.10.202314:00-14:45Firas Al-Hafez, Research Talk: Challenges and Frontiers in Learning Natural LocomotionE202+http://talks.robot-learning.net
6.10.202315:15-15:30IP final presentation: Autonomous Basil HarvestingE202+http://talks.robot-learning.net
6.10.202315:00-15:15IP final presentation: Latent Tactile Representations for Model Based RLE202+http://talks.robot-learning.net
6.10.202314:00-15:00Pascal Klink, Research Talk: Reinforcement Learning Curricula as Interpolations between Task DistributionsE202
29.09.202314:30-15:00Ruiyong Pi, M. Sc. Thesis Defence: Bluetooth Low Energy Localization for the Social Robot ZenboE202+http://talks.robot-learning.net
29.09.202314:00-14:30Alper Gece, M.Sc. Thesis Defense: Leveraging Structured-Graph Correspondence in Imitation LearningS2|02 E202 or http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/dqb-vxrz-kyt\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
8.09.202314:00-14:15Christian Hammacher, M.Sc. Intermediate Presentation: Object Pose Estimation and Manipulation from Pointclouds using Energy-based ModelsE202+http://talks.robot-learning.net
25.08.202315:15-15:30Ruiyong Pi, M.Sc. Intermediate Presentation: Bluetooth Low Energy Localisation for the Social Robot ZenboE202+http://talks.robot-learning.net
25.08.202314:45-15:15Rolf Gattung, B.Sc. Thesis Defense: Active Neural Understanding of a Scene for RoboticsE202 and http://talks.robot-learning.net
25.08.202314:00-14:45Niklas Funk, Research Talk: Tactile Feedback in Closed-Loop ControlE202+http://talks.robot-learning.net
24.08.202314:00-15:00Krzysztof Walas (PUT), Invited Talk: Learning Terrain Representation for Legged Robot LocalizationE202\nAbstract: \nIn this talk\, I will describe a haptic localization system based on a terrain representation learned from the force/torque sensors at the quadruped robot's feet. Our approach was twofold: supervised terrain classification and the unsupervised method based on the autoencoder architecture. I will talk about the pros and cons of both approaches. The proposed system is well-suited for a routine robotized maintenance and inspection application\, increasing the platform's robustness. Finally\, I will present an efficient transformer-based representation of the terrain based on force/torque measurements. \n\n \nBio: \n \nKrzysztof Walas graduated from Poznan University of Technology (PUT) in Poland\, receiving an MSc in Automatic Control and Robotics. He received (with honors) a Ph.D. in Robotics in 2012 for his thesis concerning legged robot locomotion in structured environments. He did his Postdoc at The University of Birmingham\, School of Computer Science\, Intelligent Robotics Laboratory. He is a recipient of the LIDER project from the National Center for Research and Development. He was a PI in the THING project on subterranean legged locomotion within Horizon 2020. He is PI in REMODEL project on deformable object manipulation within Horizon 2020. Currently\, he is an Assistant Professor at the Institute of Robotics and Machine Intelligence at PUT\, Poland. His research interests are related to robotic perception for physical interaction applied both to walking and grasping tasks.\n\nÜber Google Meet teilnehmen: https://meet.google.com/erq-ojtx-fee\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
24.08.202313:30-14:00Piotr Kicki (PUT), Invited Talk: Machine learning-based models of deformable linear objects for robotic manipulationE202Über Google Meet teilnehmen: https://meet.google.com/kwn-pbrw-qhc\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
4.08.202314:45-15:00Sebastian Müller, M.Sc. Intermediate Presentation: Visual illusions in sensorimotor control – a reinforcement learning studyE202+http://talks.robot-learning.net
4.08.202314:00-14:45Boris Belousov, Research Talk: Divergence, Inference, ExplorationE202+http://talks.robot-learning.net
28.07.202314:30-15:00Fabio Hilt, M.Sc. Thesis Defence: Statistical Model-based Reinforcement LearningE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/xnc-gmsi-eip\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
28.07.202314:00-14:30Mario Gomez, B.Sc. Thesis Defense: Towards Dynamic Robot Juggling: Adaptive Planning for Sideswap PatternsE202+http://talks.robot-learning.net
21.07.202314:00-14:45Snehal Jauhri, Research Talk: Coupling Perception, Mobility & Manipulation: A challenge & opportunity for Robot LearningE202+http://talks.robot-learning.net
20.07.202315:00-16:00Sriraam Natarajan (UT Dallas), Invited Talk: Neurosymbolic learning via Integration of (Relational) Planning and (Deep) RLMornewegstraße 30 and https://tu-darmstadt.zoom.us/j/66971646334?pwd=WHNTK0U2bitDZmc3WFFCdm01SjhPQT09
19.07.202311:00-12:30Kenji Doya (OIST), Invited Talk: Neural Circuits for Reinforcement Learning and Mental SimulationBuilding S1|15 Room 133
14.07.202314:00-14:30Maximilian Langer, M.Sc. Intermediate Presentation: Energy-based Models for 6D Pose EstimationE202+http://talks.robot-learning.net
13.07.202317:00-18:00Michael Wibral (Uni Goettingen), Invited Talk: Information theory for the age of neural networksSchnittspahnstr. 3 (Campus Botanischer Garten) B1/01 Bio/Systems NeurophysiologyThema: CogSci Colloquium: Michael Wibral - Information theory for the age of neural networks\n\nUhrzeit: 13.Juli 2023 05:00 PM Amsterdam\, Berlin\, Rom\, Stockholm\, Wien\n\nZoom-Meeting beitreten\n\nhttps://tu-darmstadt.zoom.us/j/63654897003?pwd=aG5lTDBRWjljYUc5ZG1VdjNVbkd5QT09\n\nMeeting-ID: 636 5489 7003\n\nKenncode: 559086\n\nSchnelleinwahl mobil\n\n+496938 980596\,\,63654897003#\,\,\,\,*559086# Deutschland\n\nEinwahl nach aktuellem Standort\n\n        +49 69 389 805 96 Deutschland\n\nMeeting-ID: 636 5489 7003\n\nKenncode: 559086\n\nOrtseinwahl suchen: https://tu-darmstadt.zoom.us/u/cbPHwPTLe\n
7.07.202314:30-15:15Junning Huang, Research Talk: Robust Feedback Linearization for Tracking Control of Robot ManipulatorsE202+http://talks.robot-learning.net
7.07.202314:00-14:30Jihao Andreas Lin (University of Cambridge), Invited Talk: Sampling from Gaussian Process Posteriors using Stochastic Gradient DescentE202Über Google Meet teilnehmen: https://meet.google.com/zjb-ymbi-fuy\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
6.07.202310:00-11:00Wil Schilders (TU Eindhoven), Invited Talk: Mathematics - key enabling technology for scientific machine learningS217/103 (Schlossgartenstr. 8) and https://tu-darmstadt.zoom.us/j/ 2619539856, Meeting-ID: 261 953 9856
30.06.202314:30-15:00Julen Urain, Research Talk: Robot Motion Generative ModelsE202+http://talks.robot-learning.net
30.06.202314:00-14:30Maximilian Tölle, Research Talk: A Survey of Language-based Task Representations for Robotic ControlE202+http://talks.robot-learning.net
28.06.202316:00-17:00Katerina Fragkiadaki (CMU), Invited Talk: 3D and energy-based inductive biases for robot manipulationhttp://talks.robot-learning.netJoin Zoom Meeting<br><a href="http://talks.robot-learning.net">http://talks.robot-learning.net</a><br><p>Abstract:    We will discuss Act3 D\, a manipulation policy transformer that casts 6-DoF keypose prediction as 3D detection in a 3D scene feature cloud.  Act3D operates in 3D perceptual space and fights the computational bottleneck of 3D scene feature grids with adaptive spatial computation through coarse-to-fine scene featurization . It is robust to changing camera viewpoints at test time\, and exploits pretrained 2D image view features in its 3D architecture. It achieves 10\\% absolute improvement over HiveFormer and InstructRL\,  the previous SOTA multi-view policies on 74 RLbench tasks and 22\\% absolute improvement with 3x less compute over PerAct\, the previous SOTA 3D policy.  Act3D depends on a low-level planner to find a collision-free trajectory between consecutive keyposes. This hinders its applicability to manipulation tasks that need continuous interactions with the environment\, such as wiping a table.  We will discuss ChainedDiffuser\, a model that unifies the keypose prediction of Act3D with trajectory diffusion models.   ChainedDiffuser maintains the performance of Act3D on simple tasks and particularly shines on tasks that involve kinematic constraints\, such as manipulating articulated objects. Last\, we will discuss a model for language-instructed robot scene rearrangement that can handle composition of language constraints zero-shot\, by modelling language concepts as energy functions over object arrangements.</p><br>Bio:           Katerina Fragkiadaki is an Assistant Professor in the Machine Learning Department at Carnegie Mellon University. She received her undergraduate diploma in Electrical and Computer Engineering from the National Technical University of Athens. She received her Ph.D. from the University of Pennsylvania and was a postdoctoral fellow at UC Berkeley and Google research after that.  Her work focuses on combining forms of common sense reasoning\, such as spatial understanding and 3D scene understanding\, with deep visuomotor learning.  The goal of her work is to enable few-shot learning and continual learning for perception\, action\, and language grounding.  Her group develops methods for computer vision for mobile agents\, 2D and 3D visual parsing\, 2D-to-3D perception\,  vision-language grounding\,  learning of object dynamics\, navigation\, and manipulation policies. Pioneering innovations of her group’s research include 2D-to-3D geometry-aware neural networks for 3D understanding from 2D video streams\,   analogy-forming networks for memory-augmented few-shot visual parsing\, and language-grounding in 2D and 3D scenes with bottom-up and top-down attention.  Her work has been awarded a best Ph.D. thesis award\,  an NSF CAREER award\, an AFOSR Young Investigator award\, a DARPA Young Investigator award\, Google\, TRI\ , Amazon\, UPMC\, and Sony faculty research awards.\n\nÜber Google Meet teilnehmen: https://meet.google.com/aqo-rnav-qwu\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
23.06.202314:30-15:00An Le, Research Talk: On The Optimal Transport In Robot Motion PlanningE202+http://talks.robot-learning.net
23.06.202314:00-14:30Theo Vincent, Research Talk: Rethinking Approximate Value Iteration algorithmsE202+http://talks.robot-learning.net
21.06.202314:10-15:10Danny Driess (Google DeepMind, TU Berlin), Invited Talk: PaLM-E: An Embodied Multimodal Language ModelE202+http://talks.robot-learning.netJoin Zoom Meeting <br><br><a href="http://talks.robot-learning.net">http://talks.robot-learning.net</a><br><br><span>Abstract: </span><br> <span>Large language models have been demonstrated to perform complex tasks . </span><span>However\, enabling general inference in the real world\, e.g . for </span><span>robotics problems\, raises the challenge of grounding. We propose </span><span>embodied language models to directly incorporate real-world continuous </span><span>sensor modalities into language models and thereby establish the link </span><span>between words and percepts. Input to our embodied language model are </span><span>multi-modal sentences that interleave visual\, continuous state</span><br>estimation\, and textual input encodings. We train these encodings end-to-end\, in conjunction with a pre-trained large language model\, for multiple embodied tasks\, including sequential robotic manipulation<br>planning\, visual question answering\, and captioning. Our evaluations show that PaLM-E\, a single large embodied multimodal model\, can address a variety of embodied reasoning tasks\, from a variety of<br>observation modalities\, on multiple embodiments\, and further\, exhibits positive transfer: the model benefits from diverse joint training across internet-scale language\, vision\, and visual-language domains.<br>Our largest model\, PaLM-E-562B with 562B parameters\, in addition to being trained on robotics tasks is a visual-language generalist with state-of -the-art performance on OK-VQA\, and retains generalist<br>language capabilities with increasing scale.<br><br>Bio:<br>Danny is a PhD student in Machine Learning and Robotics since 2019. His advisor is Marc Toussaint. In 2020 \, he visited Russ Tedrake's Lab at MIT. Currently\, he is a part-time student researcher at Google DeepMind\, working on vision-language models for robotics.
19.06.202314:00-15:00Tan Chen (Michigan Tech), Invited Talk: Control, Robustness, and Contact-Based Mechanics in Biped LocomotionE202+http://talks.robot-learning.net
16.06.202315:00-15:30Rukang Xu, M.Sc. Thesis Defense: Improving Markerless HandTracking usingSoftware-Synchronized Visual-Inertial OdometryE202+http://talks.robot-learning.net
16.06.202314:00-15:00Pierre Schumacher (IMPRS-IS), Invited Talk: Reinforcement Learning with and for Musculoskeletal SystemsE202+http://talks.robot-learning.net
15.06.202310:00-11:00Zhiyuan Gao, M.Sc. Thesis Defense: Hierarchical Contextualization of Movement PrimitivesE202Über Google Meet teilnehmen: https://meet.google.com/zyx-srza-zzx\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
14.06.202318:00-19:00Shuran Song (Columbia University), Invited Talk: Learning Meets Gravity: Robots that Embrace Dynamics from PixelsZoom through: http://talks.robot-learning.net/Abstract: Despite the incredible capabilities (speed and repeatability) of our hardware today\, many robot manipulators are deliberately programmed to avoid dynamics – moving slow enough so they can adhere to quasi-static assumptions of the world. In contrast\, people frequently (and subconsciously) make use of dynamic phenomena to manipulate everyday objects – from unfurling blankets to tossing trash – to improve efficiency and physical reach range. These abilities are made possible by an intuition of physics\, a cornerstone of intelligence. How do we impart the same to robots?<br ><br>Modeling the complex dynamics of unseen objects from pixels is challenging. However\, by tightly integrating perception and action\, we show that it is possible to relax the need for accurate dynamical models. Thereby allowing robots to (i) learn dynamic skills for complex objects\, (ii) adapt to new scenarios using visual feedback\, and (iii) use their dynamic interactions to improve their understanding of the world. By changing the way we think about dynamics – from avoiding it to embracing it – we can simplify a number of classically challenging problems\, leading to new robot capabilities.<br><br>Bio: Shuran Song is an Assistant Professor in the Department of Computer Science at Columbia University. Before that\, she received her Ph.D. in Computer Science at Princeton University\, BEng. at HKUST. Her research interests lie at the intersection of computer vision and robotics. Song’s research has been recognized through several awards including the Best Paper Awards at RSS’22 and T-RO’20\, Best System Paper Awards at CoRL’21\, RSS’19\, and finalist at RSS\, ICRA\, CVPR\, and IROS.  She is also a recipient of the NSF Career Award\, Sloan Foundation fellowship as well as research awards from Microsoft\, Toyota Research\, Google\, Amazon\, and JP Morgan. To learn more about Shuran’s work please visit: <a href="https://www.cs .columbia.edu/~shurans/">https://www.cs.columbia.edu/~shurans/</a>
12.06.202314:00-15:00Krishan Rana (QUT), Invited Talk: Scaling Robot LearningC120 (limited capacity) and via Zoom http://talks.robot-learning.net/<br><i><b>Title</b>: Scaling Robot Learning</i><br><i><br></i><br><i><b>Abstract: </b>In this technical talk\, we delve into the topic of scaling robot learning to address two crucial aspects: scaling robot learning of low-level tasks and scaling task-level decision-making for robotics. Reinforcement learning (RL) has the potential to revolutionize robotics by enabling machines to adapt and learn from their surroundings without explicit programming. However\, the time-intensive and costly online training required for experience collection remains a major obstacle for widespread adoption. This presentation explores the utilization of pre-training on demonstration datasets\, encompassing prior robot experiences\, to expedite the learning process for a wide range of downstream RL tasks. Furthermore\, we touch upon learning language-conditioned RL policies for embodied agents and discuss the potential of a language-behaviour foundation model.</i><br><br ><i><br></i><i>On the topic of task-level planning in robotics\, leveraging large language models (LLMs) has demonstrated impressive results in developing generalist planning agents for diverse tasks. However\, grounding these plans in extensive\, multi-floor\, and multi-room environments presents an ongoing challenge. The talk highlights recent research in addressing these challenges by employing 3D scene graph representations and leveraging their hierarchical structure for scalable task planning for mobile manipulator robots.<br></i><br><i><br></i><br><i><b>Bio:</b> I am postdoctoral researcher at the QUT Centre for Robotics working on control and machine learning for robotics. My research focuses on how to effectively exploit prior and structural knowledge in deep reinforcement learning in order to guide and accelerate training. More recently\, I have been exploring how we can integrate language for robotic control and task level planning.</i>\n\nÜber Google Meet teilnehmen: https://meet.google.com/yuh-zjyq-ifh\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
9.06.202315:45-16:15Leon Keller, M.Sc. Thesis Defense: Context-Dependent Variable Impedance Controllers With Stability GuaranteesE202+http://talks.robot-learning.net
9.06.202315:15-15:45Rickmer Krohn, M.Sc. Thesis Defense: Multisensory Reinforcement Learning for Contact-rich Robotic ManipulationE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/dtc-brjy-ynj\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
9.06.202314:45-15:15Johannes Heeg, M.Sc. Intermediate Presentation: Maximum Entropy Task Space ExplorationE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/sfj-asbj-svz\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
9.06.202314:00-14:45Aditya Bhatt, Research Talk: Fast and cheap bio-inspired Feedback ControllersE202+http://talks.robot-learning.net
2.06.202315:00-15:30Nico Bohlinger (Uni Frankfurt), Invited Talk: Reinforcement Learning in the RoboCup Simulation League and Intrinsic Goal-Conditioned AgentsE202+http://talks.robot-learning.net
19.05.202314:00-15:00Joe Watson, Research Talk: Coherent Imitation LearningE202 and talks.robot-learning.net
16.05.202313:30-14:30Moritz Moeller (U. Cam), Invited Talk: Biological learning in a dynamic, uncertain world - adapting to changing levels of noiseB002 (In-Person Only)
12.05.202314:00-14:30Pascal Herrmann, M.Sc. Thesis Defense: 6DCenterPose: Multi-object RGB-D 6D pose tracking with synthetic training dataE202+http://talks.robot-learning.net
5.05.202314:30-14:45Zeyuan Sun, MSc Thesis Defense: Self Expanding Neural Networks for Reinforcement Learninghttps://tu-darmstadt.zoom.us/j/2217001119?pwd=Q1l1QUpSYWE1eFY0UkVk QlJLd1hmQT09
28.04.202314:00-14:30Melanie Jehn, M.Sc. Thesis Defense: NAS with GFlowNetsE202+http://talks.robot-learning.net
26.04.202316:00-17:00Gabriella Pizzuto (Liverpool University), Invited Talk: The Role of Intelligent Robotic Laboratory Assistants For Accelerating Material DiscoveryS3|11 0012 and https://tu-darmstadt.zoom.us/j/65324628051?pwd=ZXQy Zk1EYkExa01BMlVMU2hPRjRUUT09
24.04.202315:00-16:00Nikhil Churamani (University of Cambridge), Invited Talk: Continual Learning for Affective RoboticsS1|03, Rm. 07 and https://tu-darmstadt.zoom.us/j/68178611738
24.04.202310:15-11:00Jack Collins (Oxford), Invited Talk: Robot Planning and Manipulation for Small-Batch ManufacturingA102 and http://talks.robot-learning.net
21.04.202314:00-14:30Niklas Kappes, M.Sc. Intermediate Presentation: Natural Gradient Optimistic Actor CriticE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/tcu-bmxu-atd\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
14.04.202314:00-14:30Tim Althaus, B.Sc. Thesis Defense: Inverse Reinforcement Learning from Observation for Locomotion on the Unitree A1 RobotE202+http://talks.robot-learning.net
12.04.202310:30-11:30Haitham Bou-Ammar (UCL and Huawei), Invited Talk: Bayesian Optimisation - From Foundations to Applications in IndustryA102 and http://talks.robot-learning.net----( Video Call )----\nhttp://talks.robot-learning.net\n---=== ---
29.03.202318:00-19:00Markus Rohrbach (TUDa), Invited Talk: Reliable Multimodal Artificial Intelligencehttps://zoom.us/j/99370670854?pwd=YWlCL2ZZNUIweUlpZ1BmN0F0NUwzQT09 with passcode TalkMarcus----( Video Call )----\nhttps://zoom.us/j/99370670854?pwd=YWlCL 2ZZNUIweUlpZ1BmN0F0NUwzQT09\n---===---
24.03.202314:30-15:00Zhiyuan Gao, M.Sc. Intermediate Presentation: Hierarchical Contextualization of Movement Primitives for Safe HRIE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/tcu-bmxu-atd\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
24.03.202314:00-14:30Michael Drolet (ASU), Invited Talk: "Learning and Blending Robot Hugging Behaviors in Time and Space"E202+http://talks.robot-learning.net
17.03.202314:45-15:15Fabio Hilt, M.Sc. Intermediate Presentation: Statistical Model Based Reinforcement LearningE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/tcu-bmxu-atd\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
17.03.202314:15-14:45Alina Böhm, B.Sc. Thesis Defense: Active Exploration For Tactile Fabric Classificationhttp://talks.robot-learning.net/
17.03.202314:00-14:15Florian Wolf, I.P. Conclusion: Pendulum AcrobaticsE202+http://talks.robot-learning.net
3.03.202314:00-14:30Leon Keller, Research Talk: T.B.A.E202+http://talks.robot-learning.net
24.02.202315:00-16:00Davide Tateo, Research Talk: Robot Learning - Acting Under Safety ConstraintsE202
24.02.202314:30-15:00Julien Brosseit, M.Sc. Thesis Defense: The Principle of Value Equivalence for Policy Gradient SearchE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/xmy-yrxm-grm\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
17.02.202315:00-15:45Gabriele Tiboni (PoliTo), Invited Talk: Adaptive Domain Randomization for Sim-to-Real TransferB002 S2|2
17.02.202314:00-15:00Prof. Frank Wood University of British Columbia Title: Fun with Foundation Models and Amortized InferenceDate & Time: Friday, February 17, 2023, 14:00 Location: S2|02 (Robert Piloty building, Hochschulstr. 10, Darmstadt) Room C110 Zoom link: https://tu-darmstadt.zoom.us/j/61653380201?pwd=Q3hHa1oyQWJ1VUJVdkhsZTgv L1VoQT09
14.02.202317:00-18:00CCPS Seminar: Jonathan Casas, Switched Adaptive Control for FES-Powered Rehabilitation MachinesS3|10 406A + Zoom: https://tu-darmstadt.zoom.us/j/65324628051?pwd= ZXQyZk1EYkExa01BMlVMU2hPRjRUUT09Time: Tuesday\, February 14\, 2023\, 17:00-18:00 (GMT+1)\n\nTitle: Switched Adaptive Control for FES-Powered Rehabilitation Machines\n\nSpeaker: Jonathan Casas\, Bionics\, Systems and Control Lab\, Department of\n Mechanical and Aerospace Engineering\, Syracuse University\, NY\, USA\n\nLocation: S3|10 406/406A\n\nZoom Meeting Link:\nhttps://tu-darmstadt.zoom.us/j/65324628051?pwd=ZXQyZk1EYkExa01BMlVMU2hPRjRUUT09\n\nMeeting ID: 653 2462 8051\nPass Code: 569811\n\nWebsite:\nhttps://www.ccps.tu-darmstadt.de/events_ccps/ccps_seminar/ccps_seminars_2023/04_jonathan_casas.en.jsp\n\nAbstract \nFunctional electrical stimulation (FES) and rehabilitation machines have the\npotential to recover lost function and mobility in people with neurological\ndisorders. However\, the human-robot system is uncertain\, nonlinear \, and\ntime-varying posing technical challenges to customizing the interaction across\nparticipants. In this seminar\, the design of closed-loop switching adaptive\ncontrollers to achieve cadence tracking using powered FES machines will be\ndiscussed. The proposed design copes with the parametric uncertainty of the\ncycle-rider dynamics and the unknown switching muscle control effectiveness by\ncomputing adaptive estimates of the uncertain parameters. For the last part of\nthe seminar\, the stability analysis using Lyapunov methods for switching systems\nwill be presented to provide theoretical convergence guarantees followed by the\npreliminary experimental results obtained on the different testbeds.\n\nShort CV\nJonathan Casas received the B.Sc. and M.Sc. degrees in electrical engineering\nfrom the Colombian School of Engineering Julio Garavito in Bogota\, Colombia\, in\n2016 and 2019 \, respectively. He is currently with the Bionics\, Systems\, and\nControl Lab at Syracuse University\, NY\, USA pursuing a Ph.D. degree under the\nsupervision of Dr. Victor Duenas. His research is focused on the design and\nevaluation of data-driven adaptive controllers for nonlinear systems.\nSpecifically\, the application of a concurrent learning technique for\nhuman-in -the-loop systems such as exoskeletons and rehabilitation machines.\n\n
8.02.202317:00-18:00Venkatraman Renganathan (Lund U), Invited Talk: Risk Allocation for Motion Planning Under Uncertaintyhttps://tu-darmstadt.zoom.us/j/64706978717?pwd=aFBsZGEzY3lzcHUrYmV QWkFmd3R4UT09Time: Wednesday\, February 8 2023\, 17:00-18:00 (GMT+1) \n\nTitle: Risk Allocation for Motion Planning Under Uncertainty\n\nSpeaker: Venkatraman Renganathan\, Department of Automatic Control\, Lund University\n\nLocation: S3|10 406/406A\n\nZoom-Link: https://tu-darmstadt.zoom.us/j/647069 78717?pwd=aFBsZGEzY3lzcHUrYmVQWkFmd3R4UT09\nMeeting ID: 652 2404 0100\nPasscode: 429392\n\nWebsite: https://www.ccps.tu-darmstadt.de/ccps/news_details _ccps_230272.en.jsp\n\nAbstract\nAn integration of distributionally robust risk allocation into sampling-based motion planning algorithms for robots operating in uncertain environments is proposed. We perform non-uniform risk allocation by decomposing the distributionally robust joint risk constraints defined over the entire planning horizon into individual risk constraints given the total risk budget. Specifically\, the deterministic tightening defined using the individual risk constraints is leveraged to define our proposed exact risk allocation procedure. Our idea of embedding the risk allocation technique into sampling-based motion planning algorithms realizes guaranteed conservative\, yet increasingly more risk feasible trajectories for efficient state space exploration.\n\nShort CV\nVenkatraman Renganathan is a postdoctoral research fellow working with Dr. Anders Rantzer at the department of automatic control in Lund University\, Sweden. Venkatraman was born in Nagercovil\, Tamilnadu State\, India. He finished my undergraduate studies in Electrical & Electronics Engineering from the Government College of Technology\, Coimbatore\, India. Venkatraman completed my Masters in Electrical Engineering from Arizona State University\, USA where he worked with Dr. Armando Rodriguez on my thesis on Missile Target Engagement for bank-to-turn missiles. Subsequently\, he moved to The University of Texas at Dallas for his PhD under Dr. Tyler Summers where he worked on security of cyberphysical systems and risk bounded motion planning using the distributionally robust optimization techniques.\nHis broad research interests include learning based and adaptive control\, risk bounded motion planning\, anomaly detection in cyber physical systems. Specifically\, he is interested in quantifying the regret and conservatism of stochastic control algorithms that try to control stochastic systems whose distributions are not known exactly or known to lie in some ambiguity sets. This specific problem setting is commonly found in both control theory and robotics.\n\n
3.02.202315:00-15:30Bane Janjus, M.Sc. Thesis Defense: Genetic Programming For Interpretable Reinforcement LearningE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/cgw-muhh-hfq\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
3.02.202314:30-15:00Chao Ni (ETHZ), Invited Talk: Towards Perceptive Lifelong LearningE202+http://talks.robot-learning.net
3.02.202314:00-14:30Ehsan Kouchaki Varnosfaderani (IUT), Invited Talk: Balance Control of Humanoid RobotsE202+http://talks.robot-learning.net
27.01.202315:15-15:45Erik Prescher, B.Sc. Visual Hierarchical Recognition And Segmentation Of InteractionsE202+http://talks.robot-learning.net
27.01.202314:30-15:15Ali Forootani (MPI), Invited Talk: Stochastic Dynamic Programming for Sequential Decision Making ProblemsE202+http://talks.robot-learning.net
27.01.202314:00-14:30Melih Özcan (METU), Invited Talk: Towards Learning Agile Locomotion and ManipulationE202+http://talks.robot-learning.net
23.01.202317:00-18:00Grace Li Zhang, Research Talk: Robustness Enhancement of Analog In -Memory Computing for Neural NetworksS3|10 406/406A and https://tu-darmstadt.zoom.us/j/64706978717?pwd=aFBsZGEzY3lzcHUrYmVQWkFmd3R4UT09Location: S3|10 406/406A\n\nZoom-Link: https://tu-darmstadt.zoom.us/j/64706978717?pwd=aFBsZGEzY3lzcHUrYmVQWkFmd3R4UT09\nMeeting ID: 647 06 97 8717\n\nPasscode: 0815\n
20.01.202314:30-15:00Berk Güler (KU), Invited Talk: Deep Reinforcement Learning to Optimize Task Performance in Physical Human-Robot Co-ManipulationE202+http://talks.robot-learning.net
20.01.202314:00-14:30Mark Baierl, M.Sc. Thesis Defense: Score-Based Generative Models as Trajectory Priors for Motion PlanningE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/xmy-yrxm-grm\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
13.01.202314:45-15:15Pascal Stenger, M.Sc. Thesis Defense: Advanced Monte-Carlo Tree Search for PlanningE202+http://talks.robot-learning.net
13.01.202314:30-14:45Melanie Jehn, M.Sc. Intermediate Presentation: NAS with GFlowNetsE202+http://talks.robot-learning.net
13.01.202314:00-14:30Jascha Hellwig, M.Sc. Thesis Defense: Reinforcement Learning in Stable Vector FieldsE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/xmy-yrxm-grm\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
21.12.202211:00-11:30Paul-Otto Müller, M.Sc. Thesis Defense: Learning Interpretable Representations for Visuotactile Sensorshttp://talks.robot-learning.net/
16.12.202214:00-14:30Sebastian Szelag, M.Sc. Thesis Defense: Multi-Agent Reinforcement Learning for AssemblyE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/xmy-yrxm-grm\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
13.12.202213:00-15:30Alexander Cowen-Rivers, Ph.D. Thesis Defense: Pushing The Limits of Sample-Efficient OptimisationE202+http://talks.robot-learning.net----( Video Call )----\nhttp://phd-defenses.robot-learning.net\n---===---
9.12.202216:00-16:30Ruidi He, M.Sc. Thesis Defense: Path Consistency Learning for Autonomous Car DrivingE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/oij-auei-jdj\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
9.12.202215:00-16:00Hosein Hasanbeig (Oxford), Invited Talk: Safe and Certified Reinforcement Learning with Logical ConstraintsE202+http://talks.robot-learning.net
9.12.202214:30-15:00Xiangyu Xu, M.Sc. Thesis Defense: Visuotactile Grasping From Human DemonstrationsE202+http://talks.robot-learning.net
9.12.202214:00-14:30Jonathan Kinzel, B.Sc. Thesis Defense: Modelling and Control of a Spherical Pendulum on a 4-DOF Barret WAME202+http://talks.robot-learning.net
2.12.202214:30-15:00Samuel Lokadjaja, B.Sc. Thesis Defense: Hierarchical Exploration for Variational InferenceE202+http://talks.robot-learning.net
2.12.202214:00-14:30Maximilian Niessing, M.Sc. Thesis Defense: Attention-based objects pose detection in cluttered scenesE202+http://talks.robot-learning.net<a href="http://talks.robot-learning.net">http://talks.robot-learning.net</a>
28.11.202213:00-14:00Radhe Shyam (IIT Mandi), Invited Talk: Smart Control Strategies for Autonomous Navigation of Mobile RobotsB002 and http://talks.robot-learning.net
18.11.202214:45-15:15Mohammad Atashak, B.Sc. Thesis Defense: Will it blend? Learning to Coexecute SubskillsE202+http://talks.robot-learning.net
18.11.202214:00-14:45Andreas Look, Research Talk: Deep Bayesian State Space ModelsB002 and http://talks.robot-learning.net----( Video Call )----\nhttp://talks.robot-learning.net\n---=== ---
11.11.202214:00-14:30Théo Vincent, M.Sc. Thesis Defense: Paramaterized projected Bellman operatorE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/pzy-ymeg-xur\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
4.11.202214:00-15:00Siwei Ju, Research Talk: Imitating and outperforming professional race driversE202 and http://talks.robot-learning.net
2.11.202218:00-19:00Zoom meeting invitation - Zoom Meeting von Christof-Matthias Neubrandhttps://tu-darmstadt.zoom.us/j/66971646334?pwd=WHNTK0U2bitDZmc3WFF Cdm01SjhPQT09Dear Prof. Natarajan\,\n\nIf the new date on Wednesday would work for you\, too\, please find below the link for the meeting\; physically you can give your talk at hessian.AI\, Mornewegstr. 30\, 3rd floor\, but we ’ll surely get in touch for more details.\n\nhttps://tu-darmstadt.zoom.us/j /66971646334?pwd=WHNTK0U2bitDZmc3WFFCdm01SjhPQT09 \n\nMeeting-ID: 669 7164 6334 \nKenncode: 763789 \nSchnelleinwahl mobil \n+14703812552\,\,6697164633 4#\,\,\,\,*763789# Vereinigte Staaten (Atlanta) \n+16027530140\,\,669716463 34#\,\,\,\,*763789# Vereinigte Staaten (Phoenix) \n\nEinwahl nach aktuellem Standort \n +1 470 381 2552 Vereinigte Staaten (Atlanta) \n +1 602 753 0140 Vereinigte Staaten (Phoenix) \n +1 646 518 9805 Vereinigte Staaten (New York) \n +1 651 372 8299 Vereinigte Staaten (Minnesota) \n +1 669 219 2599 Vereinigte Staaten (San Jose) \n + 1 669 900 6833 Vereinigte Staaten (San Jose) \n +1 720 928 9299 Vereinigte Staaten (Denver) \n +1 786 635 1003 Vereinigte Staaten (Miami ) \n +1 929 205 6099 Vereinigte Staaten (New York) \n +1 971 247 1195 Vereinigte Staaten (Portland) \n +1 206 337 9723 Vereinigte Staaten (Seattle) \n +1 213 338 8477 Vereinigte Staaten (Los Angeles) \n +1 253 215 8782 Vereinigte Staaten (Tacoma) \n +1 267 8 31 0333 Vereinigte Staaten (Philadelphia) \n +1 301 715 8592 Vereinigte Staaten (Washington DC) \n +1 312 626 6799 Vereinigte Staaten (Chicago) \n +1 346 248 7799 Vereinigte Staaten (Houston) \n +1 470 250 9358 Vereinigte Staaten (Atlanta) \nMeeting-ID: 669 7164 6334 \nKenncode: 763789 \nOrtseinwahl suchen: https://tu-darmstadt.zoom.us/u/cbNhY47hni \n
2.11.202218:00-19:00Sriraam Natarajan (UT Dallas), Invited Talk: Human-allied sequential decision-makingMornewegstraße 30 and https://tu-darmstadt.zoom.us/j/66971646334?pwd=WHNTK0U2bitDZmc3WFFCdm01SjhPQT09
28.10.202214:45-15:10Louis Sterker, B.Sc. Thesis Defense: Social Interaction Segmentation and Learning using Hidden semi-Markov ModelsE202+http://talks.robot-learning.net
28.10.202214:00-14:45Yunlong Song (UZH and ETHZ), Invited Talk: Reinforcement Learning for Agile Drone FlightB002 and http://talks.robot-learning.net----( Video Call )----\nhttp://talks.robot-learning.net\n---=== ---
21.10.202215:00-15:20Daniel Musekamp, M.Sc. Thesis Defense: Amortized Variational Inference using GMMs for Inverse KinematicsE202+http://talks.robot-learning.net
21.10.202214:00-15:00Dieter Buechler (MPIIS), Invited Talk: New developments at Learning Muscular RobotsB002 and talks.robot-learning.net----( Video Call )----\nhttp://talks.robot-learning.net\n---=== ---
19.10.202213:00-14:003AI Lecture "Who I am" by Carlo D'Eramo: Multi-Task and Curriculum Reinforcement LearningE202+http://talks.robot-learning.net
17.10.202212:00-13:00Paul Jansonnie, Research Talk: Skill Discovery through Task Generation for Robotic ManipulationE202----( Video Call )----\nhttp://talks.robot-learning.net\n---=== ---
14.10.202215:05-15:20Xiangyu Xu, M.Sc. Intermediate Presentation: Visuotactile Grasping From Human DemonstrationsE202+http://talks.robot-learning.net
14.10.202214:45-15:15Shanding Gu, Research Talk: Safe Reinforcement Learning for Multi- Robot ControlE202+http://talks.robot-learning.net
14.10.202214:20-14:40Pascal Stenger, M.Sc. Intermediate Presentation: Advanced Monte-Carlo Tree Search for PlanningE202+http://talks.robot-learning.net
14.10.202214:00-14:20Pascal Herrmann, M.Sc. Intermediate Presentation: 6D Pose Estimation and Tracking for Ubongo 3DE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/zox-pjjs-cof\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
13.10.202211:00-12:00Takayuki Osa (University of Tokyo), Invited Talk: Objective function with multiple extrema in robot learningB002 and http://talks.robot-learning.net
7.10.202215:00-15:30Daljeet Nandha, M.Sc. Thesis Defense: Leveraging Large Language Models For Autonomous Task PlanningE202+http://talks.robot-learning.net
7.10.202214:30-15:00Georgia Chalvatzaki, Research Talk: Shaping Robotic Assistance through Structured Robot LearningS202|E202in-person S202|E202 and streaming
7.10.202214:15-14:30Paul-Otto Müller, M.Sc. Intermediate Presentation: Learning Interpretable Representations for Visuotactile SensorsE202+http://talks.robot-learning.net
7.10.202214:00-14:15Mark Baierl, M.Sc. Intermediate Presentation: Score-Based Imitation LearningE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/zox-pjjs-cof\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
30.09.202214:30-15:30Paul Jansonnie, Research Talk: Skill Discovery through Task Generation for Robotic ManipulationE202+http://talks.robot-learning.net
30.09.202214:00-14:20Jascha Hellwig, M.Sc. Intermediate Presentation: Reinforcement Learning in Stable Vector FieldsE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/zox-pjjs-cof\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
26.09.202215:00-17:00Philip Becker-Ehmck, Ph.D. Thesis Defense: Latent State-Space Models for Controlhttp://phd-defenses.robot-learning.net----( Video Call )----\nhttp://phd-defenses.robot-learning.net\n---===---
23.09.202213:30-15:00Masashi Sugiyama (RIKEN), Invited Talk: Recent advances in robust machine learningS208/171 Uhrenturmhörsaal
22.09.202217:30-19:30Tuan Dam, Ph.D. Thesis Defense: Sample Efficient Monte Carlo Tree Search for Roboticshttp://phd-defenses.robot-learning.net----( Video Call )----\nhttps://tu-darmstadt.zoom.us/j/62602139 490\n---===---
1.09.202211:00-12:00Hermann Blum (ETH Zurich), Invited Talk: Self-improving robotic scene understandingS02 | 02 E202 or https://tu-darmstadt.zoom.us/j/69848175636?pwd=N0ozWSs5MEVNblRWT0krbm9FZmtHZz09
26.08.202214:15-14:35Julien Brosseit, M.Sc. Intermediate Presentation: Policy Optimization with Learning and PlanningE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/zox-pjjs-cof\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
26.08.202214:00-14:15Sebastian Szelag, M.Sc. Intermediate Presentation: Multi-Agent Reinforcement Learning for AssemblyE202+http://talks.robot-learning.net
12.08.202214:15-14:30Benedikt Hahner, M.Sc. Intermediate Presentation: Sim2GP: Bayesian Dynamics Models via Differentiable PhysicsE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/jxr-mdiv-fsz\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
12.08.202214:00-14:20Théo Vincent, M.Sc. Intermediate Presentation: Projected Bellman OperatorE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/zox-pjjs-cof\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
10.08.202214:00-15:00Felix Petersen TalkMornewegstraße 28, 64293 Darmstadt, hessian.AI, Room 3.1.01https://mail.google.com/mail/u/0/#inbox
5.08.202214:00-14:30Daljeet Nandha, M.Sc. Intermediate Presentation: Leveraging Large Language Models For Autonomous Task PlanningE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/upv-dvay-jgs\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
29.07.202215:00-15:45Joe Watson, Research Talk: Monte Carlo Posterior Policy Iteration with Gaussian ProcessesE202+http://talks.robot-learning.net
29.07.202214:20-14:50Wenhua Bao, M.Sc. Thesis Defense: Learning a Decision Module in Frenet Space by Imitating Control CommandsE202+http://talks.robot-learning.net
29.07.202214:00-14:20Ruidi He, M.Sc. Intermediate Presentation: Path Consistency Learning for Autonomous Car DrivingE202+http://talks.robot-learning.net
27.07.202213:00-14:003AI Lecture Series "Who I am" _ Invitation to Jannis Brugger's talkhttps://tu-darmstadt.zoom.us/j/66804616163?pwd=YW15YmJOMENTd3hOdmQ 4azVGdHRzQT09Dear 3AI-community\,\n\nI would like to cordially invite you to the second lecture of our lecture series “Who I am”\, held by Jannis Brugger\, dealing with the topics “Why symbols\, genetic programming and context free grammar” and “Neural guided symbol regression”!\n\nThe lecture takes place next Wednesday\, 17.07.\, 1 to 2 p.m.\, Mornewegstr. 30\, 3rd floor\, and will be organized hybrid\; meanwhile we’ve tested and improved the sound-quality.\n\nDue to Corona\, please inform me in advance when you will personally come to Mornewegstr.\n\nJoin the lecture:\nhttps://tu-darmstadt.zoom.us/j/66804616163?pwd=YW15YmJOMENTd3hOdmQ4azVGdHRzQT09\nMeeting-ID: 668 0 461 6163\nKenncode: 002686\n\nIt would be great if you’d support the speakers – this time: Jannis – with your participation\; you all (including the hessian.AI-Geschäftsstelle) are cordially invited!\n\nBest regards\,\n\nChristof & Jannis (Blüml)\n\n\n\n\n\n\n
22.07.202214:45-15:15Kuo Zhang, M.Sc. Thesis Defense: Learning Geometric Constraints for Safe Robot InteractionE202+http://talks.robot-learning.net
22.07.202214:00-14:45Niklas Funk, Research Talk: Robot Assembly DiscoveryE202+http://talks.robot-learning.net
18.07.202217:00-19:00Boris Belousov, Ph.D. Thesis Defense: On Optimal Behavior under Uncertainty in Humans and Robotshttp://tiny.cc/rarruz----( Video Call )----\nhttp://tiny.cc/rarruz\n---===---
15.07.202214:20-14:50Oliver Järnefelt, M.Sc. Intermediate Presentation: Sparsely Collaborative Multi-Agent Reinforcement LearningE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/ufh-kzwh-sbk\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
15.07.202214:00-14:20Darya Nikitina, B.Sc. Thesis Defense: Inference Methods for Markov Decision ProcessesE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/jbo-ummk-dia\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
13.07.202213:00-14:003AI Lecture Series "Who I am" _ Invitation to the first Lecture "RL , Transformers in RL"https://tu-darmstadt.zoom.us/j/69077364328?pwd=OVl6UFF4UVpvL0hucnp MUzJvTExJQT09Dear 3AI-community\,\n\nI would like to cordially invite you to the first lecture of our lecture series “Who I am”\, held by Jannis Blüml\ , dealing with the topic “Transformers in Reinforcement Learning/Reinforcement Learning with Uncertainty”!\n\nThe lecture takes place next Wednesday\, 13.07.\, 1 to 2 p.m.\, Mornewegstr. 30\, 3rd floor\, and will be organized hybrid. Due to Corona\, please inform me in advance when you will personally come to Mornewegstr.\n\nZoom-Meeting beitreten\nhttps://tu-darmstadt.zoom.us/j/69077364328?pwd=OVl6UFF4UVpvL0hucnpMUzJvTExJQT09\nMeeting-ID: 690 77 36 4328\nKenncode: 741180\n\nUpdated schedule:\n\n[cid:image003.png@01D891E E.5AADE760]\n\nIt would be great if you’d support the speakers – this time: Jannis – with your participation\; you all (including the hessian.AI-Gesch äftsstelle) are cordially invited!\n\nBest regards\,\nChristof & Jannis\n
8.07.202214:00-14:30Maximilian Tölle, M.Sc. Thesis Defense: Curriculum Adversarial Reinforcement LearningE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/mfx-ywcc-sow\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
7.07.202217:00-18:00Pete Florence (Google Research), Invited Talk: Robotics at GoogleE202+http://talks.robot-learning.netAbstract:\n\nTBA\n\nÜber Google Meet teilnehmen: https://meet.google.com/ybj-emxr-nij\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
6.07.202213:30-15:10Johannes Betz (U.Penn), Invited Talk: Autonomous Vehicles on the Edge - Learning to drive fast and accurate at the vehicle dynamics limitsUhrturmhörsaal S2|08/171
1.07.202214:30-15:00Piotr Kicki (Poznan University of Technology), Invited Talk: Learning for Motion PlanningS02|02 E202Über Google Meet teilnehmen: https://meet.google.com/khi-iwsj-jsr\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
1.07.202214:00-14:30Vilja Lott, B.Sc. Thesis Defense: Detecting an Intention for Interaction in a Human-Robot EnvironmentE202+http://talks.robot-learning.net
28.06.20228:30-9:00Nathalie Woortman, B.Sc. Thesis Defense: Comparing and Personalizing Human Following Behaviors for Mobile Ground RobotsE202+http://talks.robot-learning.net<p></p><p>Topic: Nathalie B.Sc. Thesis Defense</p><p>Time: Jun 28\, 2022 08:30 AM Amsterdam\, Berlin\, Rome\, Stockholm\, Vienna</p><p><br ></p><p>Join Zoom Meeting</p><p><a href="https://www.google.com/url?q=https ://tu-darmstadt.zoom.us/j/61186752702?pwd%3DOGxFamYrYlNsdjUxMFo0YjNCaVpwQT0 9&amp\;sa=D&amp\;source=calendar&amp\;usd=2&amp\;usg=AOvVaw0Pq1OOmDgwL8SC7k SNHxU1" target="_blank">https://tu-darmstadt.zoom.us/j/61186752702?pwd=OGxFamYrYlNsdjUxMFo0YjNCaVpwQT09</a></p><p><br></p><p>Meeting ID: 611 8675 2702 </p><p>Passcode: 747648</p><p>One tap mobile</p><p>+12063379723\,\,61186752 702#\,\,\,\,*747648# US (Seattle)</p><p>+12133388477\,\,61186752702#\,\,\,\ ,*747648# US (Los Angeles)</p><p><br></p><p>Dial by your location</p><p> +1 206 337 9723 US (Seattle)</p><p> +1 213 338 8477 US (Los Angeles)</p><p> +1 253 215 8782 US (Tacoma)</p><p> +1 267 831 03 33 US (Philadelphia)</p><p> +1 301 715 8592 US (Washington DC)</p><p > +1 312 626 6799 US (Chicago)</p><p> +1 346 248 7799 US (Houston)</p><p> +1 470 250 9358 US (Atlanta)</p><p> +1 470 381 2 552 US (Atlanta)</p><p> +1 602 753 0140 US (Phoenix)</p><p> + 1 646 518 9805 US (New York)</p><p> +1 651 372 8299 US (Minnesota)</p><p> +1 669 219 2599 US (San Jose)</p><p> +1 669 900 6833 US (San Jose)</p><p> +1 720 928 9299 US (Denver)</p><p> +1 786 635 1003 US (Miami)</p><p> +1 929 205 6099 US (New York)</p><p> +1 971 247 1195 US (Portland)</p><p>Meeting ID: 611 8675 2702</p><p>Passcode: 747648</p><p>Find your local number: <a href="https://www.google.com/url?q=https://tu-darmstadt.zoom.us/u/cdVT1x07Ng&amp\;sa=D&amp\;source=calendar&amp\;usd=2&amp\;usg=AOvVaw3b3IXQ8ZqojXhU72wOmnJT" target="_blank">https ://tu-darmstadt.zoom.us/u/cdVT1x07Ng</a></p>
23.06.202214:00-15:00Andreas Look, Research Talk: Cheap and Accurate Traffic Forecasting with Neural SDEsE202+http://talks.robot-learning.net
22.06.202216:00-17:00Hamish Flynn, Research Talk: An experimental comparison of PAC-Bayes bounds for contextual banditsE202+http://talks.robot-learning.net
17.06.202214:00-14:30Simon Kiefhaber, M.Sc. Thesis Defense: Leveraging Energy-Based Models for Multi-Object 6D Pose EstimationE202+http://talks.robot-learning.net
3.06.202214:30-15:00Amos Newswanger, M.Sc. Thesis Defense: Indoor Visual Navigation on Micro-Aerial Drones without External InfrastructureE202+http://talks.robot-learning.net
3.06.202214:00-14:30Simon Kohaut, Honor's Thesis Defense: Efficient Density Estimation for the Correlated Dirichlet DistributionE202+http://talks.robot-learning.net
30.05.202214:00-15:00C. Shawn Green (U. Wisconsin Madison), Invited Talk: Every task is a learning task (and should be treated as such)Raum S306/146
27.05.202211:40-13:30Save the date: May 27, 2022 - Talk by Turing Award Winner Jack DongarraMaschinenhaus S1|05 Room 122, Magdalenenstr. 12, 64289 DarmstadtDear members of the department\,\n\nwe are very excited to welcome the winner of the ACM Turing Award 2021\, Jack Dongarra\, for a talk at our department – save the date!\n\nSpeaker: Turing Award Winner Jack Dongarra\nTitle: "A Not So Simple Matter of Software"\nWhen: May 27\, 2022\, 11: 40 a.m.\nWhere: Maschinenhaus S1|05 Room 122\, Magdalenenstr. 12\, 64289 Darmstadt\nAbstract and Bio: https://www.informatik.tu-darmstadt.de/fb20/ueber_uns_details_255616.de.jsp\n\nRegistration is highly appreciated but not mandatory:\nhttps://www.informatik.tu-darmstadt.de/fb20/aktuelles_fb20/veranstaltungen_fb20/dongarra.en.jsp\n\nBest regards\nAnne Grauenhorst\n\n###### ## Deutsche Version ##########\n\nLiebe Mitglieder des Fachbereichs\,\n\nwir freuen uns sehr\, den Preisträger des ACM Turing Award 2021\, Jack Dongarra\, für einen Talk an unserem\nFachbereich zu begrüßen:\n\nSpeaker: Turing -Award-Preisträger Jack Dongarra\nTitel: "A Not So Simple Matter of Software"\nWann: 27. Mai 2022\, 11:40 Uhr\nWo: Maschinenhaus S1|05 Raum 122\, Magdalenenstr. 12\, 64289 Darmstadt\nWeitere Informationen: https://www.informatik.tu-darmstadt.de/fb20/ueber_uns_details_255616.de.jsp\n\nFür eine bessere Planung würden wir uns freuen\, wenn Sie sich für die Teilnahme anmelden. Herzlichen Dank!\nhttps://www.informatik.tu-darmstadt.de/fb20/aktuelles_fb 20/veranstaltungen_fb20/dongarra.de.jsp\n\nMit freundlichen Grüßen\nAnne Grauenhorst\n\n--\nAnne Grauenhorst\nReferentin Kommunikation\, FB Informatik | TU Darmstadt\nMo-Do 8:30-13:30 Uhr | Tel.: 06151 16-25505 | www.informatik.tu-darmstadt.de<http://www.informatik.tu-darmstadt.de/>\nFolgen Sie uns auf Twitter<https://www.twitter.com/CS_TUDarmstadt/> und LinkedIn<https://www.linkedin.com/company/cs-tudarmstadt/>!\n\n\n\n\n\n\n\n\n
27.05.202211:40-13:40Jack Dongarra (University of Tennessee), Invited Talk: A Not So Simple Matter of SoftwareMaschinenhaus S1|05 Room 122, Magdalenenstr. 12, 64289 Darmstadt.
20.05.202215:00-15:15Fabian Damken, Honor Thesis Defense: Random Fourier Series FeaturesE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/oxc-awgm-wgc\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
20.05.202214:30-15:00Jan Schneider, M.Sc. Thesis Defense: Model Predictive Policy Optimization amidst Inaccurate ModelsE202+http://talks.robot-learning.net
20.05.202214:00-14:30Felix Kaiser, M.Sc. Thesis Defense: Multi-Object Pose Estimation for Robotic Applications in Cluttered ScenesE202+http://talks.robot-learning.net
16.05.202217:00-18:00Thomas Beckers (University of Pennsylvania), Invited Talk: Safe Learning-based Control for Mechanical SystemsS3|10 406/406A / https://tu-darmstadt.zoom.us/j/69949062481<br><br>Control and Cyber-Physical Systems Seminar<br><b>Safe&nbsp\;Learning-based Control for Mechanical Systems</b><br><br><b>Thomas Beckers</b><br>Department of Electrical and Systems Engineering\, University of Pennsylvania<br><br><b>Monday\, 16 May 2022\, 17:00-18:00\, S3|10 406/406 A&nbsp\;</b><br>via zoom:&nbsp\;<a href="https://tu-darmstadt.zoom.us/j/699 49062481">https://tu-darmstadt.<wbr>zoom.us/j/69949062481</a><br>Meeting ID : 699 4906 2481<br><br><b>Abstract<br>I</b>n modern technologies such as autonomous vehicles and service robots\, control engineering plays a crucial role for the&nbsp\;overall performance and safety of the system. However\, the control design becomes often very time-consuming or even&nbsp\;infeasible due to the increasing complexity of mechanical systems. The classical control approaches\, which are based on&nbsp\;first principle models of the systems\, are not satisfactory in the presence of complex dynamics\, e.g.\, for highly nonlinear&nbsp\;systems or interaction with prior unknown environment. Recent findings in artificial intelligence and machine learning have &nbsp\;shown that data-driven approaches lead to very promising results in a wide range of applications including the modeling of&nbsp\;complex dynamics. However\, the major drawback in data-driven approaches frequently manifests as unpredictable&nbsp\;outcomes. Therefore\, the current application of machine learning in control is typically limited to non-critical and low&nbsp\;performance systems.&nbsp\;<br>In this talk\, I will present our results on safe learning-based control of partially unknown mechanical systems. In the first&nbsp\;part of the seminar\, I will show how we leverage Gaussian processes for learning of the unknown dynamics in the system.&nbsp\;Gaussian process (GP) models are of high interest due to many beneficial properties such as the bias-variance trade-off and&nbsp\;the strong connection to Bayesian mathematics. We exploit the Bayesian structure to include physics-based prior&nbsp\;knowledge about the system into the learning process. In the second part\, I will present a learning-enhanced model-based&nbsp\;control law which guarantees safe control of mechanical systems with partially unknown dynamics. This control law&nbsp\;combines the strength of model-based control with the flexibility of machine learning techniques. I demonstrate how we&nbsp\;actively exploit the uncertainty of the GP model to guarantee high-performance and stability of the closed loop. Finally\, I&nbsp\;will conclude by sharing future research directions in this area.<br><br>Short CV of Thomas Beckers<br>Thomas Beckers is a postdoctoral researcher at the Department of Electrical and Systems Engineering\, University of&nbsp\;Pennsylvania. He is member of the GRASP Lab and the PRECISE Center. In 2020\ , he earned his doctorate in Electrical&nbsp\;Engineering at the Technical University of Munich (TUM)\, Germany. He received the B.Sc. and M.Sc. degree in Electrical&nbsp\;Engineering in 2010 and 2013\, respectively\, from the Technical University of Braunschweig\, Germany. In 2018\, he was a&nbsp\;visiting researcher at the University of California\, Berkeley. He is a DAA D AInet fellow and was awarded with the Rhode&nbsp\;&amp\; Schwarz Outstanding Dissertation price. His research interests include physics-enhanced learning\, nonparametric&nbsp\;models\, and safe learning-based control.
13.05.202214:00-14:30Daniel Musekamp, M.Sc. Intermediate Presentation: Amortized VIPSE202+http://talks.robot-learning.net
6.05.202214:00-15:00Guillaume Duret, Research Talk: Generating a Synthetic Dataset for FruitsE202+http://talks.robot-learning.net
29.04.202214:30-15:00Simon Kohaut, M.Sc. Thesis Defense: Hybrid Probabilistic Logic Programming for Mission Design in Multimodal MobilityE202+http://talks.robot-learning.net
29.04.202214:00-14:30Filip Bjelonic, M.Sc. Thesis Defense: Learning-based design and control for soft quadrupedal robotsE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/tfi-qqfk-kri\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
22.04.202215:30-16:00Jonas Günster, B.Sc. Thesis Defense: Learning the Low-level Policy for Robot Air HockeyE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/wqx-hsus-baj\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
22.04.202215:00-15:30Marek Daniv, B.Sc. Thesis Defense: Graph-Based Model Predictive Visual Imitation LearningE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/uxa-oobn-tbi\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
22.04.202214:00-15:00Tim Welschehold (Uni Freiburg), Invited Talk: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic EnvironmentsE202+http://talks.robot-learning.netAbstract:\n\nDespite its importance in both industrial and service robotics\, mobile manipulation remains a challenge as it requires the combination of a vast range of capabilities over long horizons. Existing methods struggle to control the large configuration space and to navigate dynamic and unknown environments. We propose a deep reinforcement learning approach to learn feasible dynamic motions for a mobile base while the end-effector follows a trajectory in task space generated by an arbitrary system to fulfill the task at hand. This modular formulation has several benefits: it enables us to readily transform a broad range of end-effector motions into mobile applications\, it allows us to use the kinematic feasibility of the end-effector trajectory as a dense reward signal and its modular formulation allows it to generalise to unseen end-effector motions at test time. We further extend the approach to complex obstacle environments and enable it to solve a broad range of tasks. The resulting approach can solve unseen\ , long-horizon tasks in unexplored environments while instantly reacting to dynamic obstacles and environmental changes. At the same time it provides a simple way to define new mobile manipulation tasks.
8.04.202215:00-15:30Leon Magnus, B.Sc. Thesis Defense: Real-Time Object Tracking For AssemblyE202+http://talks.robot-learning.net
8.04.202214:30-15:00Heiko Carrasco, M.Sc. Thesis Defense: Particle-Based Adaptive Sampling for Curriculum LearningE202+http://talks.robot-learning.net
8.04.202214:00-14:30Maximilian Tölle, M.Sc. Intermediate Presentation: Curriculum Adversarial Reinforcement LearningE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/wkq-ctgv-cnf\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
28.03.202213:30-14:30Luca Lach (PAL), Invited Talk: NeuTouch - Improving Mobile Manipulation Performance using Tactile Sensors (date fixed, time tentative)S202/C205
25.03.202215:00-15:30Moritz Meser, B.Sc. Thesis Defense: Multi-Instance Pose Estimation for Robot MikadoE202+http://talks.robot-learning.net
25.03.202214:30-15:00Svenja Menzenbach, B.Sc. Thesis Defense: Leveraging Learned Graph-based Heuristics for efficiently solving the Combinatorics of AssemblyE202+http://talks.robot-learning.net
25.03.202214:00-14:30Max Siebenborn, B.Sc. Thesis Defense: Evaluating Decision Transformer Architecture on Robot Learning Taskshttp://tiny.cc/7askoz
18.03.202214:00-14:30Yannik Frisch, M.Sc. Thesis Defense: Analysis of Self-supervised Keypoint Detection Methods for Robot LearningE202+http://talks.robot-learning.net
11.03.202214:30-15:00Verena Sieburger, M.Sc. Thesis Defense: Development of a BaselineAgent in Robot Air HockeyE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/rqv-nvnt-pkp\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
11.03.202214:00-14:30Chen Xue, M.Sc. Thesis Defense: Task Classification and Local Manipulation ControllersE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/src-qqfg-yvt\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
4.03.202214:00-14:30Zhicheng Yang, M. Sc. Final Presentation: Exploring Gripping Behaviours for Human-Robot HandshakingE202+http://talks.robot-learning.net
25.02.202215:00-15:15Simon Kiefhaber, M.Sc. Intermediate Presentation: Leveraging Energy-Based Models for Multi-Object 6D Pose EstimationE202+http://talks.robot-learning.net
25.02.202214:00-15:00Rupert Mitchell (AIML), Invited Talk: Growing Neural Networks using Natural GradientsE202+http://talks.robot-learning.net
18.02.202214:00-14:30Heiko Carrasco, M.Sc. Intermediate Presentation: Optimal Sampling for Self-Paced Reinforcement LearningE202+http://talks.robot-learning.net
11.02.202217:00-18:00Byron Boots (University of Washington), Invited Talk: Machine Learning and Model Predictive Control for Adaptive Robotic SystemsE202+http://talks.robot-learning.net
4.02.202215:00-15:30Felix Kaiser, M.Sc. Intermediate Presentation: Multi-Object Pose Estimation for Robotic Applications in Cluttered ScenesE202+http://talks.robot-learning.net
28.01.202215:00-15:30Yifei Wang, M.Sc. Thesis Defense: Learning with Composable Energy PoliciesE202+http://talks.robot-learning.net
28.01.202214:30-15:00Filip Bjelonic, M.Sc. Intermediate Presentation: Learning-based design and control for soft quadrupedal robotsE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/yqa-nede-wbd\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
21.01.202215:00-15:30Nikita Rudin (NVIDIA and ETH Zurich), Invited Talk: Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement LearningE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/ntz-cevw-ydm\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
21.01.202214:30-15:00Verena Sieburger, M.Sc. Intermediate Presentation: Playing Robot Air HockeyE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/hrs-xrfm-gbj\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
14.01.202216:00-16:30Lei Xu, M.Sc. Thesis Defense: Integrated AI planning for general-purpose robot manipulationE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/iix-uyif-qeq\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
14.01.202215:00-16:00Danny Driess (TU Berlin), Invited Talk: Learning for Long-Horizon Manipulation Planninghttp://tiny.cc/7askoz
14.01.202214:30-15:00Jan Schneider, M.Sc. Intermediate Presentation: Model Predictive Policy Optimization amidst Uncertain ModelsE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/dgr-bifw-ysn\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
7.01.202215:00-16:00Aldo Pacchiano (Microsoft Research NYC), Invited Talk: Towards an Understanding of Transfer Learning in Reinforcement Learning Domainshttp://tiny.cc/7askoz
7.01.202214:00-14:15Pengfei Zhao, M.Sc. Thesis Defense: Improving Gradient Directions for Episodic Policy SearchE202+http://talks.robot-learning.net
20.12.202111:00-11:30Tom Buchholz, M.Sc. Thesis Defense: Variational Locally Projected RegressionE202+http://talks.robot-learning.net
17.12.202115:30-15:50Yannik Frisch, M.Sc. Intermediate Presentation: Unsupervised patch -wise contrastive learning of keypoints for prediction and controlE202+http://talks.robot-learning.net
17.12.202115:00-15:30Jiawei Huang, M.Sc. Thesis Defense: Multi-Objective Reactive Motion Planning in Mobile ManipulatorsE202+http://talks.robot-learning.net
17.12.202114:00-15:00Weiming Zhi (University of Sydney), Invited Talk: Diffeomorphic learning for sampling-based motion planning, generalised imitation learning\ , and beyondhttp://tiny.cc/7askozÜber Google Meet teilnehmen: https://meet.google.com/kye-qwgj-xvx\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
10.12.202114:00-15:00Thomas Schön (Uppsala University), Invited Talk: Deep Probabilistic Regressionhttp://tiny.cc/7askozÜber Google Meet teilnehmen: https://meet.google.com/emm-hskx-ose\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
3.12.202116:00-17:00Chengshu Li (Stanford University), Invited Talk: BEHAVIOR and iGibson 2.0 Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological EnvironmentsE202+http://talks.robot-learning.net
26.11.202114:00-14:30Martina Gassen, B.Sc. Thesis Defense: Learning a library of Physical Interactions for Social RobotsE202+http://talks.robot-learning.net
19.11.202115:00-17:00Michael Lutter, Ph.D. Thesis Defense: Inductive Biases for Machine Learning in Robotics and Controlhttps://tinyurl.com/79x846b
19.11.202111:15-11:30Lei Xu, M.Sc. Intermediate Presentation: Integrated AI planning for general-purpose robot manipulationE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/wwm-hugn-wjc\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
19.11.202111:00-11:15Chen Xue, M.Sc. Intermediate Presentation: Task Classification and Local Manipulation ControllersE202+http://talks.robot-learning.net
16.11.202114:00-14:30Siwei Ju, Research Talk: Motor Sports and the Digital TwinB002
12.11.202114:20-14:50Nick Heppert, M.Sc. Thesis Defense: Articulated Object Tracking for Robot ManipulationE202+http://talks.robot-learning.net
12.11.202114:00-14:20Zhicheng Yang, M.Sc. Intermediate Presentation: Exploring Gripping Behaviours and Haptic Emotions for Human-Robot HandshakingE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/vjz-noec-kmx\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
5.11.202114:30-15:00Zihan Ye, Research Talk: Efficient Gradient-Based Variational Inference with GMMsE202+http://talks.robot-learning.net
5.11.202114:00-14:30Theo Gruner, M.Sc. Thesis Defense: Wasserstein-Optimal Bayesian System Identification for Domain RandomizationE202+http://talks.robot-learning.net
4.11.202115:30-17:30Hany Abdulsamad, Ph.D. Thesis Defense: Statistical Machine Learning for Stochastic Structured Systemshttps://tinyurl.com/79x846b
29.10.202115:00-15:45Andy Morgan (Yale), Invited Talk: Challenges of in-hand manipulationE202+http://talks.robot-learning.net
25.10.202118:30-21:30Stefan Loeckel, Ph.D. Thesis Defense: Machine Learning for Modeling and Analyzing of Race Car Drivershttps://tinyurl.com/4k728jp8
25.10.202114:00-15:00An Thai Le, Research Talk: Learning Task-parameterized Riemannian Motion Policieshttps://tinyurl.com/668j4s3c
22.10.202115:00-15:30Yifei Wang, M.Sc. Intermediate Presentation: Bimanual Control and Learning with Composable Energy PoliciesE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/cce-oqun-ggg\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
22.10.202114:30-15:00Tim Schneider, M.Sc. Thesis Defense: Active Inference for Robotic ManipulationE202+http://talks.robot-learning.net
20.10.202115:20-17:00Ruth Rosenholtz (MIT), Invited Talk: Demystifying the richness of visual perceptionhttps://tu-darmstadt.zoom.us/j/82363067583?pwd=c3A4OERoenRvNGorRHEyRmtSenRjdz09https://tu-darmstadt.zoom.us/j/82363067583?pwd=c3A4OERoenRvNGor RHEyRmtSenRjdz09
15.10.202114:00-14:30Jiawei Huang, M.Sc. Intermediate Presentation: Multi-objective reactive motion planning in mobile manipulatorsE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/joa-ntcw-cuc\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
8.10.202111:00-11:20Yannick Eich, M.Sc. Thesis Defense: Distributionally Robust Optimization for Hybrid Systemshttp://tiny.cc/7askozÜber Google Meet teilnehmen: https://meet.google.com/nct-yqmo-qgs\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
30.09.202114:30-14:50Mohammad Amin Ali, B.Sc. Thesis Defense: An Educational Framework for Robot LearningE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/rmb-timf-fic\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
30.09.202114:00-14:30Hassan Wahba, B.Sc. Thesis Defense: Deep Object-centered Heuristic for Robot PlanningE202+http://talks.robot-learning.net
28.09.202117:00-18:30Fabio Muratore, Ph.D. Thesis Defense: Randomizing Physics Simulations for Robot Learninghttps://tu-darmstadt.zoom.us/j/89209756776?pwd=U1VmbUlQWm8zL0hScVRrVUhmMlB0QT09fabio.ramos@sydney.edu.au <fabio.ramos@sydney.edu.au>
23.09.202115:30-16:30New EventE202+http://talks.robot-learning.net
23.09.202115:30-16:00Cedric Derstroff, M.Sc. Thesis Defense: Memory Representations for Partially Observable Reinforcement LearningE202+http://talks.robot-learning.net
23.09.202115:00-15:30Mattis Kaemmerer, M.Sc. Thesis Defense: Measure-Valued Derivatives for Machine LearningE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/pfs-scqn-bys\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
23.09.202114:00-15:00Beren Millidge (Oxford), Invited Talk: Perspectives on Active Inference for continuous control in POMDPsE202+http://talks.robot-learning.net<span>Please register using <a href="http://tiny.cc/7askoz">http://tiny.cc/7askoz</a> </span>
20.09.202114:15-14:45Carlos Luis, Research Talk: Uncertainty Representations in Reinforcement LearningC205
20.09.202113:45-14:15Alessandro Bottero, Research Talk: Information-theoretic Safe ExplorationC205
20.09.202113:00-13:45Felix Berkencamp (BCAI), Invited Talk: Optimistic Exploration in Model-based Reinforcement LearningC205
16.09.202114:00-15:00Shikhar Bahl (CMU), Invited Talk: Neural Dynamic PoliciesE202+http://talks.robot-learning.netPlease register using http://tiny.cc/7askoz
9.09.202114:00-15:00Fabio Muratore, Research Talk: Learning from Randomized Physics SimulationsE202+http://talks.robot-learning.net
2.09.202115:00-15:30Jihao Andreas Lin, M.Sc. Thesis Defense: Functional Variational Inference for Bayesian Neural NetworksE202+http://talks.robot-learning.net
2.09.202114:30-15:00Haoyi Yang, M.Sc. Thesis Defense: Variational Inference for Curriculum Reinforcement LearningE202+http://talks.robot-learning.net
2.09.202114:00-14:30Niranth Sai, Research Talk: Skill Priors for Accelerating Reinforcement LearningE202+http://talks.robot-learning.net
26.08.202115:00-15:15Pengfei Zhao, M.Sc. Intermediate Presentation: Improving Gradient Directions for Episodic Policy SearchE202+http://talks.robot-learning.net
26.08.202114:30-15:00Frederik Wegner, M.Sc. Thesis Defense: Learning Tactile Representations from Vision-Based Tactile Sensors for Robotic Architectural AssemblyE202+http://talks.robot-learning.net
26.08.202114:00-14:30Lukas Schneider, B.Sc. Thesis Defense: Distributional Monte-Carlo Tree SearchE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/dzg-qnqz-cew\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
19.08.202114:30-14:45Theo Gruner, M.Sc. Intermediate Presentation: Wasserstein-Optimal Distributional System Identification for Domain RandomizationE202+http://talks.robot-learning.net
19.08.202114:15-14:30Tom Buchholz, M.Sc. Intermediate Presentation: Variational Locally Projected RegressionE202+http://talks.robot-learning.net
19.08.202114:00-14:15Lukas Schneider, I.P. Conclusion: A Framework for Benchmarking Advances in MCTS in ChessE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/tcx-uxuo-aar\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
12.08.202115:15-15:45Sebastian Seer, M.Sc. Intermediate Presentation: Learning Visual representations for Interactive tasksE202+http://talks.robot-learning.net
12.08.202114:45-15:15Cedric Derstroff, M.Sc. Intermediate Presentation: Memory Representations for Partially Observable Reinforcement LearningE202+http://talks.robot-learning.net
12.08.202114:00-14:45Jan-Matthis Lückmann, Research Talk: Simulation-Based Inference for Neuroscience and BeyondE202+http://talks.robot-learning.net
5.08.202114:00-14:45Tianyu Ren, Research Talk: Adaptive Task and Motion PlaningE202+http://talks.robot-learning.net
29.07.202115:00-15:45Joe Watson, Research Talk: Bayesian Inference for ControlE202+http://talks.robot-learning.net
29.07.202114:30-15:00Daniel Palenicek, M.Sc. Thesis Defense: Dyna-Style Model-based Reinforcement Learning with Value ExpansionE202+http://talks.robot-learning.net
29.07.202114:00-14:30Tim Schneider, M.Sc. Intermediate Presentation: Tactile Active InferenceE202+http://talks.robot-learning.net
23.07.202111:00-11:30Andreas Look, Research Talk: Neural SDEsE202+http://talks.robot-learning.net
23.07.202110:30-11:00Hamish Flynn, Research Talk: PAC Bayes Bound for Life-Long Reinforcement LearningE202+http://talks.robot-learning.net
22.07.202115:30-16:00Ricardo Grando, Research Talk: My experience with robotics and AI and a future outlookE202+http://talks.robot-learning.net
22.07.202114:45-15:30An Thai Le, Research Talk: Towards Human-Robot Collaboration with Logic-Geometric Programming and Human Motion PredictionE202+http://talks.robot-learning.net
22.07.202114:00-14:45Fabian Otto (BCAI), Invited Talk: Differentiable Trust Region Layers for Deep Reinforcement LearningE202+http://talks.robot-learning.net
15.07.202115:00-15:20Moritz Schneider, Research Talk: Disentangled Representations for Reinforcement LearningE202+http://talks.robot-learning.net
15.07.202114:30-15:00Antonello Scaldaferri, Research Talk: Learning Whole-Body Legged Locomotion Skills for Highly Dynamic TasksE202+http://talks.robot-learning.net
15.07.202114:00-14:30Yannick Eich, M.Sc. Intermediate Presentation: Distributionally Robust Optimization For Hybrid SystemsE202+http://talks.robot-learning.net
14.07.202115:20-16:20Nori Jacoby (Max Planck Institute for Empirical Esthetics), Invited Talk: Understanding Perceptual Priors with Massive Online Experimentsttps://tu-darmstadt.zoom.us/j/88155893549?pwd=TFBiVG96S3czeHlCakVt SHlEK0M4dz09
8.07.202115:00-15:30Hany Abdulsamad, Research Talk: Distributionally-Robust Stochastic Optimal ControlE202+http://talks.robot-learning.net
8.07.202114:30-15:00Hanyu Sun, M.Sc. Thesis Defense: Can we improve time-series classification with Inverse Reinforcement Learning?E202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/hqs-vjja-ttx\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
8.07.202114:00-14:30Lanmiao Liu, M.Sc. Thesis Defense: Detection and Prediction of Human Gestures by Probabilistic ModellingE202+http://talks.robot-learning.netÜber Google Meet teilnehmen: https://meet.google.com/hit-cxfe-hmc\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
24.06.202114:30-15:00Yanhua Zhang, M.Sc. Thesis Defense: Memory Representations for Partially Observable Reinforcement LearningE202+http://talks.robot-learning.net
24.06.202114:00-14:30Jule Brendgen, M.Sc. Thesis Defense: The Relation between Social Interaction And Intrinsic Motivation in Reinforcement LearningE202+http://talks.robot-learning.net
17.06.202114:30-15:15Boris Belousov, Research Talk: Touch2Feel — Tactile Active Inferencehttp://tiny.cc/7askoz
17.06.202114:00-14:30Michel Kohl, M.Sc. Thesis Defense: Learning Latent Interaction Models using Interaction PrimitivesE202+http://talks.robot-learning.net
10.06.202114:30-15:30Junning Huang, Research Talk: Model-based Reinforcement Learning for Plate SpinningE202+http://talks.robot-learning.net
10.06.202114:00-14:30Mattis Kaemmerer, M.Sc. Intermediate Presentation: Measure-Valued Derivatives for Machine LearningE202+http://talks.robot-learning.net
27.05.202114:30-15:30Philip Becker-Ehmck, Research Talk: Empowered Explorationhttp://tiny.cc/7askozZoom Registration: http://tiny.cc/7askoz\n\nIGNORE THE GOOGLE S HIT BELOW!\n\nThis event has a video call.\nJoin: https://meet.google.com/eky-egiq-vkg
27.05.202114:00-14:30Simon Kohaut, Honor Thesis Defense: Visual Perception for Assistive Robotshttp://tiny.cc/7askoz
20.05.202114:30-15:00Tuan Dam, Research Talk: Monte-Carlo Tree Search and its application in Robot Path Planninghttp://tiny.cc/7askoz
20.05.202114:00-14:30Alessandro Vincenti, B.Sc. Thesis Defense: Developing a Robot Head for Internal State VisualizationE202+http://talks.robot-learning.net
17.05.202115:00-16:00Nikolai Matni (University of Pennsylvania), Invited Talk: Robust Learning for Safe Controlhttps://zoom.us/j/556365602?pwd=a0hsTHZURnF5akd2OTI0ektRNno2dz09
12.05.202111:30-12:00Joao Carvalho, Research Talk: An Analysis of MVDs for Reinforcement LearningE202+http://talks.robot-learning.net
12.05.202111:00-11:30Kay Hansel, M.Sc. Thesis Defense: Probabilistic Dynamic Mode PrimitvesE202+http://talks.robot-learning.net
12.05.202110:30-11:00David Rother, M.Sc. Thesis Defense: Reinforcement Learning in Decentralized Multi-Goal Multi-Agent SettingsE202+http://talks.robot-learning.net
6.05.202114:30-15:00Niklas Funk, Research Talk: Real Robot Challenge 2020 - Overview of Methods and their effectivenessE202+http://talks.robot-learning.net
6.05.202114:00-14:30Frederik Wegner, M.Sc. Intermediate Presentation: Learning Vision- Based Tactile Representations for Robotic Architectural AssemblyE202+http://talks.robot-learning.net
29.04.202114:00-14:30Puze Liu, Research Talk: Air Hockey and Null Space OptimizationE202+http://talks.robot-learning.net
22.04.202115:00-15:45Felix Frank (VW Data Labs), Invited Talk: Constrained probabilistic movement primitiveshttp://tiny.cc/7askoz
22.04.202114:30-15:00Moritz Andres, B.Sc. Thesis Defense: Person Recognition via Videodata and Audiodatahttp://tiny.cc/7askoz
22.04.202114:00-14:30Axel Patzwahl, M.Sc. Thesis Defense: Multi-sensor Fusion for Target Motion Prediction with an Application to Robot Baseballhttp://tiny.cc/7askozÜber Google Meet teilnehmen: https://meet.google.com/zok-stem-bwp\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
15.04.202114:30-15:00Zhenhui Zhou, M.Sc. Thesis Defense: Approximate Policy Search in Black Box Optimizationhttp://tiny.cc/7askoz
15.04.202114:00-14:30Franziska Herbert, B.Sc. Thesis Defense: Using Multimodal Human Feedback for Reinforcement Learninghttp://tiny.cc/7askoz
8.04.202114:30-15:00Jianhang He, M.Sc. Thesis Defense: Imitation Learning using Energy Based Modelshttp://tiny.cc/7askozÜber Google Meet teilnehmen: https://meet.google.com/fec-tnpv-hmh\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
8.04.202114:00-14:30Jonas Eschmann, M.Sc. Thesis Defense: Partially Unsupervised Deep Meta Reinforcement Learninghttp://tiny.cc/7askoz
1.04.202114:00-15:00Pascal Klink, Research Talk: Global Optimization in Machine Learning ApplicationsE202+http://talks.robot-learning.net
25.03.202114:30-14:45Jule Brendgen, M.Sc. Intermediate Presentation: The Relation between Social Interaction And Intrinsic Motivation in Reinforcement LearningE202+http://talks.robot-learning.net
25.03.202114:00-14:30Yug Ajmera, M.Sc. Intermediate Presentation: Learning Movement Primitives for Handshaking BehavioursE202+http://talks.robot-learning.net
18.03.202114:00-14:15Haoyi Yang, M.Sc. Intermediate Presentation: Variational Inference for Curriculum Reinforcement LearningE202+http://talks.robot-learning.net
11.03.202115:00-15:30Gabriele Libardi, Invited Talk: Guided Exploration with Proximal Policy Optimization using a Single DemonstrationE202+http://talks.robot-learning.net
11.03.202114:00-15:00Julen Urain, Research Talk: Imitation FlowsE202+http://talks.robot-learning.net
4.03.202115:00-15:30Marius Zoeller, B.Sc. Thesis Defense: Graph NetworksE202+http://talks.robot-learning.net
4.03.202114:30-15:00Moritz Andres, B.Sc. Intermediate Presentation: Person Recognition via Videodata and AudiodataE202+http://talks.robot-learning.net
4.03.202114:00-14:30Kay Hansel, M.Sc. Intermediate Presentation: Probabilistic Dynamic Mode PrimitivesE202+http://talks.robot-learning.net
25.02.202114:00-15:00Michael Lutter, Research Talk: Inductive Biases for Robot Learninghttp://tiny.cc/7askoz
18.02.202114:15-14:30Yanhua Zhang, M.Sc. Intermediate Presentation: Memory Representations for Partially Observable Reinforcement Learninghttp://tiny.cc/7askoz
18.02.202114:00-14:15Franziska Herbert, B.Sc. Intermediate Presentation: Using Multimodal Human Feedback for Reinforcement Learninghttp://tiny.cc/7askoz
11.02.202114:15-14:30Lanmiao Liu, M.Sc. Intermediate Presentation: Gestures Density Modelshttp://tiny.cc/7askozÜber Google Meet teilnehmen: https://meet.google.com/ghn-ghed-jzd\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
11.02.202114:00-14:15Hanyu Sun, M.Sc. Intermediate Presentation: Action Recognitionhttp://tiny.cc/7askozÜber Google Meet teilnehmen: https://meet.google.com/ngp-ngkg-qnp\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
4.02.202114:30-15:00Janosch Moos, M.Sc. Thesis Defense: Approximate Variational Inference for Mixture Modelshttp://tiny.cc/7askoz
4.02.202114:00-14:30Jan Rathjens, M.Sc. Thesis Defense: Accelerated Policy Searchhttp://tiny.cc/7askoz
28.01.202115:00-15:15Jianhang He, M.Sc. Intermediate Presentation: Imitation Learning using Energy-Based Modelhttp://tiny.cc/7askoz
28.01.202114:00-15:00Claudio Zito (TII), Invited Talk: Feature-Based Transfer Learning for Robotic Push Manipulationhttp://tiny.cc/7askoz
14.01.202114:30-14:45Zhenhui Zhou, M.Sc. Intermediate Presentation: Multi Modal Policy Search using Normalizing Flowhttp://tiny.cc/7askoz
14.01.202114:00-14:30David Rother, M.Sc. Intermediate Presentation: Reinforcement Learning in Decentralized Multi-Goal Multi-Agent Settingshttp://tiny.cc/7askozÜber Google Meet teilnehmen: https://meet.google.com/ybq-vtgq-mup\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
7.01.202114:00-14:30Felix Helfenstein, B.Sc. Thesis Defense: Benchmarking Deep Reinforcement Learning AlgorithmsE202+http://talks.robot-learning.net
21.12.202016:30-18:00Samuele Tosatto, Ph.D. Thesis Defense: Reinforcement Learning for Roboticshttp://tiny.cc/7askoz
17.12.202015:00-16:00Matthew Gombolay (Georgia Tech), Invited Talk: Democratizing Robot Learning for Human-Robot Teaminghttp://tiny.cc/7askoz
17.12.202014:30-15:00Jonas Eschmann, M.Sc. Intermediate Presentation: Partially Supervised Deep Meta Reinforcement Learning for Sim2Real Transferhttp://tiny.cc/7askoz
17.12.202014:00-14:30Janosch Moos, M.Sc. Intermediate Presentation: Approximate Variational Inference for Mixture Modelshttp://tiny.cc/7askoz
10.12.202015:00-15:20Axel Patzwahl, M.Sc. Intermediate presentation: Multi-sensor Fusion for Target Motion Prediction with an Application to Robot Baseballhttp://tiny.cc/7askoz
10.12.202014:30-15:00Fabian Damken, B.Sc. Thesis Defense: Variational Autoenconders for Koopman Dynamical Systemshttp://tiny.cc/7askozÜber Google Meet teilnehmen: https://meet.google.com/ybq-vtgq-mup\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
10.12.202014:00-14:30Moritz Schramm, B.Sc. Thesis Defense: Development of an Interactive Gesture Recognition System for an Assistive Robothttp://tiny.cc/7askoz
8.12.202015:30-18:00Roberto Lampariello, Ph.D. Thesis Defense: Optimal Motion Planning for Object Interception and Graspinghttp://tiny.cc/7askozRoberto Lampariello <roberto.lampariello@dlr.de>\nAndre Seyfarth <seyfarth@sport.tu-darmstadt.de>\nKlaus Schilling Uni <schi@informatik.uni-wuerzburg.de>\nOskar von Stryk <stryk@sim.tu-darmstadt.de>\nhaehnle@cs.tu -darmstadt.de\nThomas Schneider <schneider@encrypto.cs.tu-darmstadt.de>
3.12.202015:30-17:30Daniel Tanneberg, Ph.D. Thesis Defense: Understand-Compute-Adapt: Neural Networks for Intelligent Agentshttp://tiny.cc/7askozhttp://tiny.cc/7askoz
3.12.202011:30-12:30Mario Zanon (IMT Lucca), Invited Talk at MPI-IS-EI: Reinforcement Learning based on Model Predictive Controlhttps://zoom.us/j/556365602?pwd=a0hsTHZURnF5akd2OTI0ektRNno2dz09
26.11.202014:30-15:00Rustam Galljamov, M.Sc. Thesis Defense: Sample-efficient learning-based controller for bipedal walking in robotic systemshttp://tiny.cc/7askoz
26.11.202014:00-14:30Albert Schotschneider, M.Sc. Thesis Defense: Learning High-Level Behavior for Autonomous Vehicleshttp://tiny.cc/7askoz
20.11.202013:00-13:30Maximilian Stasica, M.Sc. Thesis Defense: Comparison of human motor control models and their application to roboticshttps://tu-darmstadt.zoom.us/j/8169149370https://tu-darmstadt.zoom.us/j/8169149370
19.11.202015:00-15:30Tim Dorau, M.Sc. Thesis Defense: Distributionally Robust Optimization for Optimal Controlhttp://tiny.cc/7askozhttp://tiny.cc/7askoz\,
19.11.202014:00-15:00Zico Kolter (CMU), Invited Talk: Equilibrium approaches to deep learning: One (implicit) layer is all you needhttp://tiny.cc/7askoz,
12.11.202015:00-16:00Nathan Ratliff (NVIDIA), Invited Talk: Geometric fabrics: Transparent tools for behavior engineeringhttp://tiny.cc/7askoz
5.11.202014:00-15:00Emtiyaz Khan (RIKEN AIP), Invited Talk: Bayesian Principles for Learning Machineshttp://tiny.cc/7askoz
29.10.202014:00-15:00Gergely Neu (UPF), Invited Talk: Logistic Q-Learninghttp://tiny.cc/7askoz
22.10.202014:00-14:15Moritz Schramm, B.Sc. Intermediate Presentation: Development of an Interactive Gesture Recognition System for an Assistive Robothttp://tiny.cc/7askoz
20.10.202011:00-12:00Martin Pecka, Research Talk: Safe Autonomous Reinforcement Learninghttps://tu-darmstadt.zoom.us/j/89741914997
15.10.202014:15-14:30Mark Baierl, B.Sc. Thesis Defense: Learning action representations for primitives-based Humanoid controlhttp://tiny.cc/7askoz
15.10.202014:00-14:15Erik Samstag, B.Sc. Thesis Defense: Bayesian Optimization for Biochemical Dose Response Measurementshttp://tiny.cc/7askoz
1.10.202014:30-15:00Patrick Krabbe, M.Sc. Thesis Defense: Learning Riemannian Movement Primitives for Manipulationhttp://tiny.cc/7askozhttp://tiny.cc/7askoz
1.10.202014:00-14:30Okan Koc (Amazon), Invited Talk: Safe Learning Control: What is out there and what is not?http://tiny.cc/7askozÜber Google Meet teilnehmen: https://meet.google.com/yez-gyuk-vyg\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
23.09.202010:00-11:00Oleg Arenz, Ph.D. Thesis Defense: Sample-Efficient I-Projections for Robot Learninghttp://tiny.cc/7askoz
22.09.202011:30-12:00Jia-Jie Zhu, Research Talk: Robust Learning Meets Robust Optimization -- Introduction to Distributionally Robust OptimizationLink on requestMeeting-ID: 556 365 602\, Password: 031606
17.09.202016:30-17:00Thomas Lautenschläger, M.Sc. Thesis Defense: Variational Inference For Switching Dynamicshttp://tiny.cc/7askozZoom Registration:&nbsp\;<a href="http://tiny.cc/7askoz" id="ow 796" __is_owner="true">http://tiny.cc/7askoz</a><br><br>IGNORE THE GOOGLE S HIT BELOW!<br><br><br>This event has a video call.<br>Join:&nbsp\;<a href="https://meet.google.com/csd-ajqp-rcp">https://meet.google.com/csd-ajqp-rcp< /a>
17.09.202016:00-16:30Alexander Klein, M.Sc. Thesis Defense: Learning Robot Grasping of Industrial Work Pieces using Dense Object Descriptorshttp://tiny.cc/7askozhttp://tiny.cc/7askoz
17.09.202015:00-16:00Marc Toussaint (TU Berlin), Invited Talk: Learning to do as plannedhttp://tiny.cc/7askoz
10.09.202015:00-15:30Markus Semmler, M.Sc. Thesis Defense: Sequential Bayesian Optimal Experimental Designhttp://tiny.cc/7askozZoom Registration:&nbsp\;<a href="http://tiny.cc/7askoz">http:/ /tiny.cc/7askoz</a><br><br>IGNORE THE GOOGLE SHIT BELOW!<br><br><br>This event has a video call.<br>Join:&nbsp\;<a href="https://meet.google.com/csd-ajqp-rcp">https://meet.google.com/csd-ajqp-rcp</a>
10.09.202014:00-15:00Michael Gienger (Honda Research Institute), Invited Talk: Dexterous Cooperationhttp://tiny.cc/7askoz
3.09.202014:45-15:30Oleg Arenz, Research Talk: Sample-Efficient I-Projections for Robot Learninghttp://tiny.cc/7askozZoom Registration:&nbsp\;<a href="http://tiny.cc/7askoz">http:/ /tiny.cc/7askoz</a><br><br>IGNORE THE GOOGLE SHIT BELOW!<br><br><br>This event has a video call.<br>Join:&nbsp\;<a href="https://meet.google.com/csd-ajqp-rcp">https://meet.google.com/csd-ajqp-rcp</a>
3.09.202014:00-14:45Simon Guist, Research Talk: Hindsight State Manipulationhttp://tiny.cc/7askozZoom Registration: http://tiny.cc/7askoz\n\nIGNORE THE GOOGLE S HIT BELOW!\n\n\nThis event has a video call.\nJoin: https://meet.google.com /csd-ajqp-rcp
27.08.202014:00-14:45Guilherme Maeda (Preferred Networks), Invited Talk: Phase portraits as movement primitives for fast humanoid robot controlhttp://tiny.cc/7askozÜber Google Meet teilnehmen: https://meet.google.com/gpr-dorc-nvs\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
20.08.202015:00-16:00Stephen Tu (Google Brain), Invited Talk: Learning Stability Certificates from Datahttp://tiny.cc/7askozZoom Registration:&nbsp\;<a href="http://tiny.cc/7askoz">http:/ /tiny.cc/7askoz</a><br><br>IGNORE THE GOOGLE SHIT BELOW!\n\nÜber Google Meet teilnehmen: https://meet.google.com/jwu-jpxp-xpz\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
20.08.202014:30-14:45Jan Rathjens, M.Sc. Intermediate Presentation: Accelerated Policy Searchhttp://tiny.cc/7askozZoom Registration:&nbsp\;<a href="http://tiny.cc/7askoz">http:/ /tiny.cc/7askoz</a><br><br>IGNORE THE GOOGLE SHIT BELOW!
13.08.202017:30-18:15Abdeslam Boularias (Rutgers U), Invited Talk: Model Identification for Robotic Manipulationhttp://tiny.cc/7askozhttp://tiny.cc/7askoz
13.08.202014:45-15:00Fabian Damken, B.Sc. Intermediate Presentation: Variational Autoenconders for Koopman Dynamical Systemshttp://tiny.cc/7askozÜber Google Meet teilnehmen: https://meet.google.com/xnx-jvoo-hxr\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
13.08.202014:30-14:45Mark Baierl, B.Sc. Intermediate Presentation: Learning action representations for primitives-based Humanoid controlhttp://tiny.cc/7askoz
13.08.202014:00-14:30Janosch Moos, Kay Hansel, Honor Thesis Defense: Survey on Robust Reinforcement Learninghttp://tiny.cc/7askoz
6.08.202014:45-15:30Tuan Dam, Research Talk: Convex Regularization in Monte-Carlo Tree Searchhttp://tiny.cc/7askozZoom Registration: http://tiny.cc/7askoz
6.08.202014:00-14:45Andras Kupcsik (BCAI), Invited Talk: Fast Learning and Sequencing of Object-centric Robot Manipulation Skillshttp://tiny.cc/7askozZoom Registration: http://tiny.cc/7askoz
30.07.202014:45-15:15Rustam Galljamov, M.Sc. Intermediate Presentation: Sample-efficient learning-based controller for bipedal walking in robotic systemshttp://tiny.cc/7askoz
30.07.202014:00-14:45Takayuki Osa (Kyushu U), Invited Talk: Motion Planning by Learning Latent Representationshttp://tiny.cc/7askozÜber Google Meet teilnehmen: https://meet.google.com/tcr-wqjn-obb\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
28.07.202011:00-12:00Max Welling (Uni Amsterdam), Invited Talk: Graph Nets and Equivariance: The Next Generationhttp://tiny.cc/7askoz
23.07.202014:00-14:30Eike Mentzendorff, M.Sc. Thesis Defense: Multi-Objective Deep Reinforcement Learning through Manifold Optimizationhttp://tiny.cc/7askoz
16.07.202014:00-14:30Johannes Silberbauer, M.Sc. Thesis Defense: A Differentiable Newton Euler Algorithm for Multi-body Model Learninghttp://tiny.cc/7askoz
15.07.202014:00-16:00IP Intermediate Presentation's Zoom Meetinghttps://tu-darmstadt.zoom.us/j/97850134157?pwd=a1RFOUNBbzd3V0xrZ2I 0alFVaGIwQT09Tuan Dam is inviting you to a scheduled Zoom meeting.\n\nTopic: IP Intermediate Presentation's Zoom Meeting\nTime: Jul 15\, 2020 02:00 PM Amsterdam\, Berlin\, Rome\, Stockholm\, Vienna\n\nJoin Zoom Meeting\nhttps: //tu-darmstadt.zoom.us/j/97850134157?pwd=a1RFOUNBbzd3V0xrZ2I0alFVaGIwQT09\n \nMeeting ID: 978 5013 4157\nPassword: 453092\nOne tap mobile\n+49695050259 6\,\,97850134157#\,\,\,\,0#\,\,453092# Germany\n+496971049922\,\,9785013415 7#\,\,\,\,0#\,\,453092# Germany\n\nDial by your location\n +49 695 0 50 2596 Germany\n +49 69 7104 9922 Germany\n +49 30 5679 5800 Germany\nMeeting ID: 978 5013 4157\nPassword: 453092\nFind your local number: https://tu-darmstadt.zoom.us/u/ad0WWyDYdE\n
9.07.202014:00-14:45Jens Kober (TU Delft), Invited Talk: Robots Learning [Through] Interactionshttp://tiny.cc/7askozPLEASE IGNORE GOOGLE'S CRAP BELOW\n::~:~::~:~:~:~:~:~:~:~:~:~:~ :~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~::~:~::-\nPlease do not edit this section of the description.\n\nThis event has a video call.\nJoin: https://meet.google.com/cgw-scxc-yxw\n-::~:~::~:~:~:~:~:~:~:~:~:~:~:~:~:~: ~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~::~:~::-\n\nÜber Google Meet teilnehmen: https://meet.google.com/cgw-scxc-yxw\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
2.07.202014:00-14:30Claas Voelcker, Honor Thesis Defense: Sequential Monte Carlo Input Inference for Controlhttp://tiny.cc/7askozÜber Google Meet teilnehmen: https://meet.google.com/pit-dwaj-tpr\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
25.06.202014:45-15:15Vini Marconie Tengang, M.Sc. Thesis Defense: 3D Pose Estimation for Robot Mikadohttp://tiny.cc/7askoz
25.06.202014:00-14:45Philip Becker-Ehmck, Research Talk: Deep Onboard Quadcopter Control via Model-Based Reinforcement Learninghttp://tiny.cc/7askozZoom Registration: http://tiny.cc/7askoz\n\nIGNORE THE GOOGLE S HIT BELOW!\n\nThis event has a video call.\nJoin: https://meet.google.com/eky-egiq-vkg\n\nÜber Google Meet teilnehmen: https://meet.google.com/ucc-mxgu-zvw\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
18.06.202017:45-18:30Simon Guist, Research Talk: Hindsight State Manipulationhttp://tiny.cc/7askozZoom Registration: http://tiny.cc/7askoz\n\nIGNORE THE GOOGLE S HIT BELOW!\n\n\nThis event has a video call.\nJoin: https://meet.google.com /csd-ajqp-rcp\n\nÜber Google Meet teilnehmen: https://meet.google.com/sgg-hhth-etf\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
18.06.202017:00-17:45Roberto Calandra (Facebook), Invited Talk: Rethinking Model-based Reinforcement Learninghttp://tiny.cc/7askozZoom Registration: http://tiny.cc/7askoz\n\nIGNORE THE GOOGLE S HIT BELOW!\n\nThis event has a video call.\nJoin: https://meet.google.com/pxo-rpac-srh\n\nÜber Google Meet teilnehmen: https://meet.google.com/kva-zhff-mun\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
18.06.202016:00-17:00Yijiang Huang (MIT), Invited Talk: Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusionhttp://tiny.cc/7askoz
11.06.202015:30-16:00Qin Li, Research Talk: Human Motion Prediction Based on Graph Convolutional Networkhttp://tiny.cc/7askoz
11.06.202015:00-15:30Stephane Tekam, M.Sc. Thesis defense: Policy Optimization via Gaussian Mixture Modelhttp://tiny.cc/7askoz
11.06.202014:00-15:00Herke van Hoof (UVA), Invited Talk: Learning heuristics for combinatorial optimizationhttp://tiny.cc/7askozZoom Registration: http://tiny.cc/7askoz\n\nIGNORE THE GOOGLE S HIT BELOW!\n\nÜber Google Meet teilnehmen: https://meet.google.com/nkx-wnkp -ode\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
4.06.202014:00-14:30Yang Weng (U. Tokyo), Invited Talk: Reinforcement Learning Based Underwater Wireless Optical Communication Alignment for Multiple Autonomous Underwater Vehicleshttp://tiny.cc/7askozhttp://tiny.cc/7askoz
28.05.202014:00-14:45Christoph Zimmer (BCAI), Invited Talk: Safe active learning for time series modeling with gaussian processeshttp://tiny.cc/7askozZoom http://tiny.cc/7askoz ! Ignore whatever else Google adds.. .\n\nÜber Google Meet teilnehmen: https://meet.google.com/mty-dznb-fwo\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/928 2720
 (:else:) 
DateTimeEventLocation
12.07.202415:00-15:40Marcel Mittenbuehler, M.Sc. Thesis Defense: Parameter-Efficient Adaptation of Multimodal Multitask Diffusion PoliciesE202+http://talks.robot-learning.net
12.07.202414:20-14:40Jonathan Kinzel, M.Sc. Intermediate Presentation: On-robot Deep Reinforcement Learning for Quadruped LocomotionE202+http://talks.robot-learning.net
12.07.202414:00-14:20Qiao Sun, M.Sc. Intermediate Presentation: Grasp Diffusion NetworkE202+http://talks.robot-learning.net
28.06.202414:00-14:30Tristan Tisch, M.Sc. Intermediate Presentation: Dynamic Multi-Agent Reward SharingE202+http://talks.robot-learning.net
21.06.202415:00-16:00Yichen Cai, Invited Talk: Visual Imitation Learning of Task-Oriented Object Grasping and RearrangementE202+http://talks.robot-learning.net
21.06.202414:00-15:00Nico Bohlinger, Research Talk: Learning Multi-Embodiment LocomotionE202+http://talks.robot-learning.net
20.06.202414:00-15:00Rodrigo Perez Dattari (TU Delft), Invited Talk: Generalizable Robotic Imitation Learning: Interactive Learning and Inductive BiasE202+http://talks.robot-learning.net
14.06.202415:30-16:00Arsenii Mustafin (Boston University), Invited Talk: Geometry and Normalization of an MDPE202+http://talks.robot-learning.net
14.06.202415:15-15:30Martin Steinborn, M.Sc. Intermediate Presentation: Multi-Person Pose Tracking Using Dynamically Gated SimilaritiesE202+http://talks.robot-learning.net
14.06.202415:00-15:15Haoran Ding, M.Sc. Intermediate Presentation: Safe Flow-based Robot Motion PoliciesE202+http://talks.robot-learning.net
14.06.202414:00-15:00Matteo Luperto (UniMI), Invited Talk: Towards long-term autonomy for indoor mobile robotsE202+http://talks.robot-learning.net
11.06.202414:00-14:15Dennis Schlee, M.Sc. Thesis Defense: Control Strategies for a Rimless Wheel Micro-RoverE202+http://talks.robot-learning.net
7.06.202415:15-15:45Changqi Chen, M.Sc. Intermediate Presentation: Learning Tactile Manipulation Policies from Human Demonstrationshttp://talks.robot-learning.net
7.06.202414:45-15:15Yasemin Göksu, M.Sc. Intermediate Presentation: Robotic Pouring with Self-supervised Learning from Video DemonstrationE202+http://talks.robot-learning.net
7.06.202414:00-14:45Yashom Dighe (University at Buffalo), Invited Talk: MPC for Real-World Racing and BeyondE202+http://talks.robot-learning.net
31.05.202414:45-15:15Marc Saghir, B.Sc. Thesis Defense: Ensemble Methods for Visual Anomaly Detection in Manufacturing SettingsE202+http://talks.robot-learning.net
31.05.202414:00-14:45David Rother, Research Talk: Implicitly Cooperative Agents in Open SystemsE202+http://talks.robot-learning.net
29.05.202415:00-15:30Caio Freitas, M.Sc. Thesis Defense: Graph Diffusion for Imitation Learning in RoboticsE202+http://talks.robot-learning.net
24.05.202415:00-15:30Zeyuan Sun, Research Talk: A sample trajectory from my future life distribution (internal only)E202+http://talks.robot-learning.net
24.05.202414:30-15:00Julian Rau, M.Sc. Thesis Defense: Diffusing Assemblies - Leveraging Diffusion Models for 3D Robotic Assemblyhttp://talks.robot-learning.net
24.05.202414:00-14:20Dominik Horstkötter, B.Sc. Thesis Defense: InsertionNet for Autonomous Assembly of Interlocking BlocksE202+http://talks.robot-learning.net
10.05.202414:00-15:00Fabian Damken, M.Sc. Thesis Intermediate Presentation: Learning Admissible and Monotone Heuristics for A*E202+http://talks.robot-learning.net
3.05.202414:00-15:00Tim Franzmeyer (Oxford University), Invited Talk: Extracting Reward Functions from Diffusion ModelsE202+http://talks.robot-learning.net
2.05.202414:00-15:00Zhang-Wei Hong (MIT), Invited Talk: Reconciling Heuristic with Reinforcement Learning: Algorithms and ApplicationsE202+http://talks.robot-learning.net
29.04.202416:00-17:00Karl Worthmann (TU Illmenau), Invited Talk: Data-Driven Controller Design for Nonlinear Systems Using EDMD in the Koopman FrameworkS3|10 406A
19.04.202415:00-15:30Phani Teja Singamaneni (LAAS-CNRS), Invited Talk: Robot Navigation in Human Spaces - Planning, Learning and ControlE202+http://talks.robot-learning.net
19.04.202414:30-15:00Jiacheng Qiu, Research Talk: Vision-based 3D Trajectory Prediction for Agile Aerial VehiclesE202+http://talks.robot-learning.net
19.04.202414:00-14:30Henri Geiss, M.Sc. Thesis Defense: Inverse Reinforcement Learning for Musculoskeletal Control of Humanoid LocomotionE202+http://talks.robot-learning.net
17.04.202415:20-16:20Tomaso Poggio (MIT), Invited Talk: The Computable Mathematics of IntelligenceDepartment of Human Sciences, S1/15, Alexanderstr. 10, Room 133 , 64283 Darmstadt
12.04.202414:00-14:45Theo Vincent, Research Talk: Rethinking Approximate Value Iteration algorithmsE202+http://talks.robot-learning.net
10.04.202414:00-15:00Genki Miyauchi (U. Sheffield), Invited Talk: Multi-Operator Control of Connectivity-Preserving Robot SwarmsRoom 2.2.21 (EmergenCITY Besprechungsraum), S4|14 (Mornewegstraße 30-32)
9.04.202415:00-15:30Yongjian Tang (Huawei), Invited Talk: Named Entity Recognition Using Foundation Large Language Models for Industrial DomainsA102
15.03.202414:00-14:30Andranik Aristakesyan, M.Sc. Thesis Defense: Analyzing Sparse Attention in Reinforcement Learning for Continuous Control: Alpha-EntMax and Attention Masking for Morphology-Aware Decision MakingE202+http://talks.robot-learning.net
8.03.202414:30-14:45Jonas Ringsdorf, M.Sc. Intermediate Presentation: Diverse Value Oriented Populations for Multi-Agent TrainingE202+http://talks.robot-learning.net
8.03.202414:00-14:30Fabian Wahren, M.Sc. Thesis Defense: Adapt your network: Investigating neural network’s architecture in Q-learning methods.E202+http://talks.robot-learning.net
1.03.202414:00-14:45Lisa Scherf, Research Talk: Learning from Human TeachersE202+http://talks.robot-learning.net
23.02.202415:00-15:45Yufeng Jin (PEARL), Research Talk: Perception Enhancement for TeleoperationE202+http://talks.robot-learning.net
23.02.202414:30-15:00Tobias Niehues, M.Sc. Thesis Defense: Approximate Bayesian Inference of Parametric Cost Functions in Inverse Decision MakingE202+http://talks.robot-learning.net
23.02.202414:00-14:30Alap Kshirsagar, Research Talk: Learning Human-Robot Interaction and Tactile PerceptionE202+http://talks.robot-learning.net
16.02.202414:45-15:00Julian Rau, M.Sc. Intermediate Presentation: Diffusing Assemblies - Leveraging Diffusion Models for 3D Robotic Assemblyhttp://talks.robot-learning.net
16.02.202414:00-14:45Sahel Iqbal (Aalto University), Invited Talk: Policy Optimization with Markovian Score Climbinghttp://talks.robot-learning.net
2.02.202413:30-14:30Roderich Gross (TUDa), Invited Talk: Advances and challenges in massively distributed roboticsE202+http://talks.robot-learning.net
24.01.202416:15-17:15Holger Froening (Heidelberg University), Invited Talk: On Accelerating Deep and Bayesian Neural ArchitecturesS220/9 (Cysec Building), and http://tinyurl.com/58fc6b5a
19.01.202415:30-16:00Xiaolin Lin, M.Sc. Thesis Defense: Efficient Query-based Instance Segmentation via Sampling-based ApproachE202+http://talks.robot-learning.net
19.01.202415:00-15:30Han Gao, M.Sc. Thesis Defense: AffordanceParts: Learning Explainable Object Parts with Invertible Neural NetworksE202+http://talks.robot-learning.net
19.01.202414:00-15:00Moritz Grosse-Wentrup (Uni Wien), Invited Talk: Neuro-Cognitive Multilevel Causal Modeling - A Framework that Bridges the Explanatory Gap between Neuronal Activity and CognitionS202/C110 + http://talks.robot-learning.net
9.01.202417:30-18:30Wil Thomason (RICE), Invited Talk: Motions in Microseconds via Vectorized Sampling-Based Planninghttp://talks.robot-learning.net
5.01.202414:15-14:30Sebastian Müller, M.Sc. Thesis Defense: Visual illusions in sensorimotor control – a reinforcement learning studyE202+http://talks.robot-learning.net
5.01.202414:00-14:15Fabian Wahren, M.Sc. Intermediate Presentation: Adapt your network : Investigating neural network’s architecture in Q-learning methods.E202+http://talks.robot-learning.net
22.12.202314:00-14:30Peter Nickl (Riken), Invited Talk: The Memory Perturbation Equation: Understanding Model’s Sensitivity to Data (NeurIPS 2023)E202+http://talks.robot-learning.net
20.12.202315:30-16:00Philipp Seitz, M.Sc. Thesis Defense: Uncertainty Quantification for Vibration Time Series ForecastingA213
20.12.202314:00-14:30Christian Hammacher, M.Sc. Thesis Defense: Object Pose Estimation and Manipulation from Pointclouds using Energy-based ModelsE202+http://talks.robot-learning.net
19.12.202316:00-17:00Tommaso Lenzi (Utah), Invited Talk: Moving Robotic Legs from the Lab to the Real WorldRoom 29, S1|15, Alexanderstr. 10
18.12.202316:00-18:30Julen Urain, Ph.D. Thesis Defense: Deep Generative Models for Motion Planning and ControlA102
18.12.202314:00-15:00Katerina Fragkiadaki (CMU), Invited Talk: Robot Learning with Generative Models: Training data creation, policy learning and test-time planning with image and action trajectory diffusion models.A102
15.12.202314:00-14:30Fabian Hahne, B.Sc. Thesis Defense: Hierarchical Hidden Markov Models for Interaction Segmentation and LearningE202+http://talks.robot-learning.net
1.12.202316:00-18:00Vignesh Prasad, Ph.D. Thesis Defense: Learning Human-Robot Interaction: A Case Study on Human-Robot HandshakingE202+http://talks.robot-learning.net
24.11.202314:00-14:30Niklas Kappes, M.Sc. Thesis Defense: Natural Gradient Optimistic Actor CriticE202+http://talks.robot-learning.net
10.11.202314:00-15:00Vignesh Prasad, Research Talk: Learning Human-Robot Interaction: A Case Study on Human-Robot HandshakingE202+http://talks.robot-learning.net
7.11.202315:00-18:00Pascal Klink, Ph.D. Thesis Defense: Reinforcement Learning Curricula as Paths between Task Distributionspascal-klink-defense.robot-learning.net
6.11.202314:00-15:00Koh Hosoda (Kyoto Univ), Invited Talk: Adaptive Locomotion of Robots and HumansAlexander str. 10, room 29
3.11.202314:30-15:00Mahdi Kallel, Research Talk: Augmented Bayesian Policy SearchS2|02 E202 or http://talks.robot-learning.net
3.11.202314:00-14:25Simon Eisenmann (TUM), Invited Talk: Quantum Machine LearningE202+http://talks.robot-learning.net
3.11.202313:00-13:30Simone Schaub-Meyer, Research Talk: Efficient and Understandable Neural Networks for Visual PerceptionB002 and https://tu-darmstadt.zoom-x.de/j/69744027576?pwd=WkE1TEp SdlY5Z001RWVTbEcxYWlnZz09
27.10.202315:45-16:15Hannes Mittwollen, B.Sc. Thesis Defense: Detection and 6D-pose estimation of objects with sparse training dataE202+http://talks.robot-learning.net
27.10.202315:00-15:45Antoine Grosnit, Research Talk: Bayesian optimization and morphology-based policy training: when good priors lead to sample efficiency.E202+http://talks.robot-learning.net
27.10.202314:00-15:00Guillaume Duret, Research Talk: Large-Scale Dataset and Benchmark Generation for RoboticsE202+http://talks.robot-learning.net
23.10.202316:00-19:00Andreas Look, Ph.D. Thesis Defense: Deterministic Approximations for Deep State-Space ModelsE202+http://talks.robot-learning.net
20.10.202314:00-15:00Saumya Saxena (CMU), Invited Talk: Learning generalizable robot skills for reactive control of dynamic and interactive tasksE202 and http://talks.robot-learning.net
19.10.202314:00-14:30Lucas Schulze, Applicant Talk: Model predictive control application for mobile roboticsE202+http://talks.robot-learning.net
19.10.202313:30-14:00Maximilian Langer, M.Sc. Thesis Defense: Energy-based Models for 6 D Object Pose EstimationE202+http://talks.robot-learning.net
18.10.202317:00-20:00Hamish Flynn, Ph.D. Thesis Defense: PAC-Bayes Bounds for Bandits: Algorithms and GuaranteesS1|03 Hochschulstr. 1 Room 07 and http://talks.robot-learning.net
18.10.202315:20-17:00CCSC - Eli Brennerhttps://tu-darmstadt.zoom.us/j/82363067583?pwd=c3A4OERoenRvNGorRHEyRmtSenRjdz09
13.10.202314:45-15:15Johannes Heeg, M.Sc. Thesis Defense: Task Space Exploration in Robot Reinforcement LearningE202+http://talks.robot-learning.net
13.10.202314:00-14:45Firas Al-Hafez, Research Talk: Challenges and Frontiers in Learning Natural LocomotionE202+http://talks.robot-learning.net
6.10.202315:15-15:30IP final presentation: Autonomous Basil HarvestingE202+http://talks.robot-learning.net
6.10.202315:00-15:15IP final presentation: Latent Tactile Representations for Model Based RLE202+http://talks.robot-learning.net
6.10.202314:00-15:00Pascal Klink, Research Talk: Reinforcement Learning Curricula as Interpolations between Task DistributionsE202
29.09.202314:30-15:00Ruiyong Pi, M. Sc. Thesis Defence: Bluetooth Low Energy Localization for the Social Robot ZenboE202+http://talks.robot-learning.net
29.09.202314:00-14:30Alper Gece, M.Sc. Thesis Defense: Leveraging Structured-Graph Correspondence in Imitation LearningS2|02 E202 or http://talks.robot-learning.net
8.09.202314:00-14:15Christian Hammacher, M.Sc. Intermediate Presentation: Object Pose Estimation and Manipulation from Pointclouds using Energy-based ModelsE202+http://talks.robot-learning.net
25.08.202315:15-15:30Ruiyong Pi, M.Sc. Intermediate Presentation: Bluetooth Low Energy Localisation for the Social Robot ZenboE202+http://talks.robot-learning.net
25.08.202314:45-15:15Rolf Gattung, B.Sc. Thesis Defense: Active Neural Understanding of a Scene for RoboticsE202 and http://talks.robot-learning.net
25.08.202314:00-14:45Niklas Funk, Research Talk: Tactile Feedback in Closed-Loop ControlE202+http://talks.robot-learning.net
24.08.202314:00-15:00Krzysztof Walas (PUT), Invited Talk: Learning Terrain Representation for Legged Robot LocalizationE202
24.08.202313:30-14:00Piotr Kicki (PUT), Invited Talk: Machine learning-based models of deformable linear objects for robotic manipulationE202
4.08.202314:45-15:00Sebastian Müller, M.Sc. Intermediate Presentation: Visual illusions in sensorimotor control – a reinforcement learning studyE202+http://talks.robot-learning.net
4.08.202314:00-14:45Boris Belousov, Research Talk: Divergence, Inference, ExplorationE202+http://talks.robot-learning.net
28.07.202314:30-15:00Fabio Hilt, M.Sc. Thesis Defence: Statistical Model-based Reinforcement LearningE202+http://talks.robot-learning.net
28.07.202314:00-14:30Mario Gomez, B.Sc. Thesis Defense: Towards Dynamic Robot Juggling: Adaptive Planning for Sideswap PatternsE202+http://talks.robot-learning.net
21.07.202314:00-14:45Snehal Jauhri, Research Talk: Coupling Perception, Mobility & Manipulation: A challenge & opportunity for Robot LearningE202+http://talks.robot-learning.net
20.07.202315:00-16:00Sriraam Natarajan (UT Dallas), Invited Talk: Neurosymbolic learning via Integration of (Relational) Planning and (Deep) RLMornewegstraße 30 and https://tu-darmstadt.zoom.us/j/66971646334?pwd=WHNTK0U2bitDZmc3WFFCdm01SjhPQT09
19.07.202311:00-12:30Kenji Doya (OIST), Invited Talk: Neural Circuits for Reinforcement Learning and Mental SimulationBuilding S1|15 Room 133
14.07.202314:00-14:30Maximilian Langer, M.Sc. Intermediate Presentation: Energy-based Models for 6D Pose EstimationE202+http://talks.robot-learning.net
13.07.202317:00-18:00Michael Wibral (Uni Goettingen), Invited Talk: Information theory for the age of neural networksSchnittspahnstr. 3 (Campus Botanischer Garten) B1/01 Bio/Systems Neurophysiology
7.07.202314:30-15:15Junning Huang, Research Talk: Robust Feedback Linearization for Tracking Control of Robot ManipulatorsE202+http://talks.robot-learning.net
7.07.202314:00-14:30Jihao Andreas Lin (University of Cambridge), Invited Talk: Sampling from Gaussian Process Posteriors using Stochastic Gradient DescentE202
6.07.202310:00-11:00Wil Schilders (TU Eindhoven), Invited Talk: Mathematics - key enabling technology for scientific machine learningS217/103 (Schlossgartenstr. 8) and https://tu-darmstadt.zoom.us/j/ 2619539856, Meeting-ID: 261 953 9856
30.06.202314:30-15:00Julen Urain, Research Talk: Robot Motion Generative ModelsE202+http://talks.robot-learning.net
30.06.202314:00-14:30Maximilian Tölle, Research Talk: A Survey of Language-based Task Representations for Robotic ControlE202+http://talks.robot-learning.net
28.06.202316:00-17:00Katerina Fragkiadaki (CMU), Invited Talk: 3D and energy-based inductive biases for robot manipulationhttp://talks.robot-learning.net
23.06.202314:30-15:00An Le, Research Talk: On The Optimal Transport In Robot Motion PlanningE202+http://talks.robot-learning.net
23.06.202314:00-14:30Theo Vincent, Research Talk: Rethinking Approximate Value Iteration algorithmsE202+http://talks.robot-learning.net
21.06.202314:10-15:10Danny Driess (Google DeepMind, TU Berlin), Invited Talk: PaLM-E: An Embodied Multimodal Language ModelE202+http://talks.robot-learning.net
19.06.202314:00-15:00Tan Chen (Michigan Tech), Invited Talk: Control, Robustness, and Contact-Based Mechanics in Biped LocomotionE202+http://talks.robot-learning.net
16.06.202315:00-15:30Rukang Xu, M.Sc. Thesis Defense: Improving Markerless HandTracking usingSoftware-Synchronized Visual-Inertial OdometryE202+http://talks.robot-learning.net
16.06.202314:00-15:00Pierre Schumacher (IMPRS-IS), Invited Talk: Reinforcement Learning with and for Musculoskeletal SystemsE202+http://talks.robot-learning.net
15.06.202310:00-11:00Zhiyuan Gao, M.Sc. Thesis Defense: Hierarchical Contextualization of Movement PrimitivesE202
14.06.202318:00-19:00Shuran Song (Columbia University), Invited Talk: Learning Meets Gravity: Robots that Embrace Dynamics from PixelsZoom through: http://talks.robot-learning.net/
12.06.202314:00-15:00Krishan Rana (QUT), Invited Talk: Scaling Robot LearningC120 (limited capacity) and via Zoom http://talks.robot-learning.net/
9.06.202315:45-16:15Leon Keller, M.Sc. Thesis Defense: Context-Dependent Variable Impedance Controllers With Stability GuaranteesE202+http://talks.robot-learning.net
9.06.202315:15-15:45Rickmer Krohn, M.Sc. Thesis Defense: Multisensory Reinforcement Learning for Contact-rich Robotic ManipulationE202+http://talks.robot-learning.net
9.06.202314:45-15:15Johannes Heeg, M.Sc. Intermediate Presentation: Maximum Entropy Task Space ExplorationE202+http://talks.robot-learning.net
9.06.202314:00-14:45Aditya Bhatt, Research Talk: Fast and cheap bio-inspired Feedback ControllersE202+http://talks.robot-learning.net
2.06.202315:00-15:30Nico Bohlinger (Uni Frankfurt), Invited Talk: Reinforcement Learning in the RoboCup Simulation League and Intrinsic Goal-Conditioned AgentsE202+http://talks.robot-learning.net
19.05.202314:00-15:00Joe Watson, Research Talk: Coherent Imitation LearningE202 and talks.robot-learning.net
16.05.202313:30-14:30Moritz Moeller (U. Cam), Invited Talk: Biological learning in a dynamic, uncertain world - adapting to changing levels of noiseB002 (In-Person Only)
12.05.202314:00-14:30Pascal Herrmann, M.Sc. Thesis Defense: 6DCenterPose: Multi-object RGB-D 6D pose tracking with synthetic training dataE202+http://talks.robot-learning.net
5.05.202314:30-14:45Zeyuan Sun, MSc Thesis Defense: Self Expanding Neural Networks for Reinforcement Learninghttps://tu-darmstadt.zoom.us/j/2217001119?pwd=Q1l1QUpSYWE1eFY0UkVk QlJLd1hmQT09
28.04.202314:00-14:30Melanie Jehn, M.Sc. Thesis Defense: NAS with GFlowNetsE202+http://talks.robot-learning.net
26.04.202316:00-17:00Gabriella Pizzuto (Liverpool University), Invited Talk: The Role of Intelligent Robotic Laboratory Assistants For Accelerating Material DiscoveryS3|11 0012 and https://tu-darmstadt.zoom.us/j/65324628051?pwd=ZXQy Zk1EYkExa01BMlVMU2hPRjRUUT09
24.04.202315:00-16:00Nikhil Churamani (University of Cambridge), Invited Talk: Continual Learning for Affective RoboticsS1|03, Rm. 07 and https://tu-darmstadt.zoom.us/j/68178611738
24.04.202310:15-11:00Jack Collins (Oxford), Invited Talk: Robot Planning and Manipulation for Small-Batch ManufacturingA102 and http://talks.robot-learning.net
21.04.202314:00-14:30Niklas Kappes, M.Sc. Intermediate Presentation: Natural Gradient Optimistic Actor CriticE202+http://talks.robot-learning.net
14.04.202314:00-14:30Tim Althaus, B.Sc. Thesis Defense: Inverse Reinforcement Learning from Observation for Locomotion on the Unitree A1 RobotE202+http://talks.robot-learning.net
12.04.202310:30-11:30Haitham Bou-Ammar (UCL and Huawei), Invited Talk: Bayesian Optimisation - From Foundations to Applications in IndustryA102 and http://talks.robot-learning.net
29.03.202318:00-19:00Markus Rohrbach (TUDa), Invited Talk: Reliable Multimodal Artificial Intelligencehttps://zoom.us/j/99370670854?pwd=YWlCL2ZZNUIweUlpZ1BmN0F0NUwzQT09 with passcode TalkMarcus
24.03.202314:30-15:00Zhiyuan Gao, M.Sc. Intermediate Presentation: Hierarchical Contextualization of Movement Primitives for Safe HRIE202+http://talks.robot-learning.net
24.03.202314:00-14:30Michael Drolet (ASU), Invited Talk: "Learning and Blending Robot Hugging Behaviors in Time and Space"E202+http://talks.robot-learning.net
17.03.202314:45-15:15Fabio Hilt, M.Sc. Intermediate Presentation: Statistical Model Based Reinforcement LearningE202+http://talks.robot-learning.net
17.03.202314:15-14:45Alina Böhm, B.Sc. Thesis Defense: Active Exploration For Tactile Fabric Classificationhttp://talks.robot-learning.net/
17.03.202314:00-14:15Florian Wolf, I.P. Conclusion: Pendulum AcrobaticsE202+http://talks.robot-learning.net
3.03.202314:00-14:30Leon Keller, Research Talk: T.B.A.E202+http://talks.robot-learning.net
24.02.202315:00-16:00Davide Tateo, Research Talk: Robot Learning - Acting Under Safety ConstraintsE202
24.02.202314:30-15:00Julien Brosseit, M.Sc. Thesis Defense: The Principle of Value Equivalence for Policy Gradient SearchE202+http://talks.robot-learning.net
17.02.202315:00-15:45Gabriele Tiboni (PoliTo), Invited Talk: Adaptive Domain Randomization for Sim-to-Real TransferB002 S2|2
17.02.202314:00-15:00Prof. Frank Wood University of British Columbia Title: Fun with Foundation Models and Amortized InferenceDate & Time: Friday, February 17, 2023, 14:00 Location: S2|02 (Robert Piloty building, Hochschulstr. 10, Darmstadt) Room C110 Zoom link: https://tu-darmstadt.zoom.us/j/61653380201?pwd=Q3hHa1oyQWJ1VUJVdkhsZTgv L1VoQT09
14.02.202317:00-18:00CCPS Seminar: Jonathan Casas, Switched Adaptive Control for FES-Powered Rehabilitation MachinesS3|10 406A + Zoom: https://tu-darmstadt.zoom.us/j/65324628051?pwd= ZXQyZk1EYkExa01BMlVMU2hPRjRUUT09
8.02.202317:00-18:00Venkatraman Renganathan (Lund U), Invited Talk: Risk Allocation for Motion Planning Under Uncertaintyhttps://tu-darmstadt.zoom.us/j/64706978717?pwd=aFBsZGEzY3lzcHUrYmV QWkFmd3R4UT09
3.02.202315:00-15:30Bane Janjus, M.Sc. Thesis Defense: Genetic Programming For Interpretable Reinforcement LearningE202+http://talks.robot-learning.net
3.02.202314:30-15:00Chao Ni (ETHZ), Invited Talk: Towards Perceptive Lifelong LearningE202+http://talks.robot-learning.net
3.02.202314:00-14:30Ehsan Kouchaki Varnosfaderani (IUT), Invited Talk: Balance Control of Humanoid RobotsE202+http://talks.robot-learning.net
27.01.202315:15-15:45Erik Prescher, B.Sc. Visual Hierarchical Recognition And Segmentation Of InteractionsE202+http://talks.robot-learning.net
27.01.202314:30-15:15Ali Forootani (MPI), Invited Talk: Stochastic Dynamic Programming for Sequential Decision Making ProblemsE202+http://talks.robot-learning.net
27.01.202314:00-14:30Melih Özcan (METU), Invited Talk: Towards Learning Agile Locomotion and ManipulationE202+http://talks.robot-learning.net
23.01.202317:00-18:00Grace Li Zhang, Research Talk: Robustness Enhancement of Analog In -Memory Computing for Neural NetworksS3|10 406/406A and https://tu-darmstadt.zoom.us/j/64706978717?pwd=aFBsZGEzY3lzcHUrYmVQWkFmd3R4UT09
20.01.202314:30-15:00Berk Güler (KU), Invited Talk: Deep Reinforcement Learning to Optimize Task Performance in Physical Human-Robot Co-ManipulationE202+http://talks.robot-learning.net
20.01.202314:00-14:30Mark Baierl, M.Sc. Thesis Defense: Score-Based Generative Models as Trajectory Priors for Motion PlanningE202+http://talks.robot-learning.net
13.01.202314:45-15:15Pascal Stenger, M.Sc. Thesis Defense: Advanced Monte-Carlo Tree Search for PlanningE202+http://talks.robot-learning.net
13.01.202314:30-14:45Melanie Jehn, M.Sc. Intermediate Presentation: NAS with GFlowNetsE202+http://talks.robot-learning.net
13.01.202314:00-14:30Jascha Hellwig, M.Sc. Thesis Defense: Reinforcement Learning in Stable Vector FieldsE202+http://talks.robot-learning.net
21.12.202211:00-11:30Paul-Otto Müller, M.Sc. Thesis Defense: Learning Interpretable Representations for Visuotactile Sensorshttp://talks.robot-learning.net/
16.12.202214:00-14:30Sebastian Szelag, M.Sc. Thesis Defense: Multi-Agent Reinforcement Learning for AssemblyE202+http://talks.robot-learning.net
13.12.202213:00-15:30Alexander Cowen-Rivers, Ph.D. Thesis Defense: Pushing The Limits of Sample-Efficient OptimisationE202+http://talks.robot-learning.net
9.12.202216:00-16:30Ruidi He, M.Sc. Thesis Defense: Path Consistency Learning for Autonomous Car DrivingE202+http://talks.robot-learning.net
9.12.202215:00-16:00Hosein Hasanbeig (Oxford), Invited Talk: Safe and Certified Reinforcement Learning with Logical ConstraintsE202+http://talks.robot-learning.net
9.12.202214:30-15:00Xiangyu Xu, M.Sc. Thesis Defense: Visuotactile Grasping From Human DemonstrationsE202+http://talks.robot-learning.net
9.12.202214:00-14:30Jonathan Kinzel, B.Sc. Thesis Defense: Modelling and Control of a Spherical Pendulum on a 4-DOF Barret WAME202+http://talks.robot-learning.net
2.12.202214:30-15:00Samuel Lokadjaja, B.Sc. Thesis Defense: Hierarchical Exploration for Variational InferenceE202+http://talks.robot-learning.net
2.12.202214:00-14:30Maximilian Niessing, M.Sc. Thesis Defense: Attention-based objects pose detection in cluttered scenesE202+http://talks.robot-learning.net
28.11.202213:00-14:00Radhe Shyam (IIT Mandi), Invited Talk: Smart Control Strategies for Autonomous Navigation of Mobile RobotsB002 and http://talks.robot-learning.net
18.11.202214:45-15:15Mohammad Atashak, B.Sc. Thesis Defense: Will it blend? Learning to Coexecute SubskillsE202+http://talks.robot-learning.net
18.11.202214:00-14:45Andreas Look, Research Talk: Deep Bayesian State Space ModelsB002 and http://talks.robot-learning.net
11.11.202214:00-14:30Théo Vincent, M.Sc. Thesis Defense: Paramaterized projected Bellman operatorE202+http://talks.robot-learning.net
4.11.202214:00-15:00Siwei Ju, Research Talk: Imitating and outperforming professional race driversE202 and http://talks.robot-learning.net
2.11.202218:00-19:00Zoom meeting invitation - Zoom Meeting von Christof-Matthias Neubrandhttps://tu-darmstadt.zoom.us/j/66971646334?pwd=WHNTK0U2bitDZmc3WFF Cdm01SjhPQT09
2.11.202218:00-19:00Sriraam Natarajan (UT Dallas), Invited Talk: Human-allied sequential decision-makingMornewegstraße 30 and https://tu-darmstadt.zoom.us/j/66971646334?pwd=WHNTK0U2bitDZmc3WFFCdm01SjhPQT09
28.10.202214:45-15:10Louis Sterker, B.Sc. Thesis Defense: Social Interaction Segmentation and Learning using Hidden semi-Markov ModelsE202+http://talks.robot-learning.net
28.10.202214:00-14:45Yunlong Song (UZH and ETHZ), Invited Talk: Reinforcement Learning for Agile Drone FlightB002 and http://talks.robot-learning.net
21.10.202215:00-15:20Daniel Musekamp, M.Sc. Thesis Defense: Amortized Variational Inference using GMMs for Inverse KinematicsE202+http://talks.robot-learning.net
21.10.202214:00-15:00Dieter Buechler (MPIIS), Invited Talk: New developments at Learning Muscular RobotsB002 and talks.robot-learning.net
19.10.202213:00-14:003AI Lecture "Who I am" by Carlo D'Eramo: Multi-Task and Curriculum Reinforcement LearningE202+http://talks.robot-learning.net
17.10.202212:00-13:00Paul Jansonnie, Research Talk: Skill Discovery through Task Generation for Robotic ManipulationE202
14.10.202215:05-15:20Xiangyu Xu, M.Sc. Intermediate Presentation: Visuotactile Grasping From Human DemonstrationsE202+http://talks.robot-learning.net
14.10.202214:45-15:15Shanding Gu, Research Talk: Safe Reinforcement Learning for Multi- Robot ControlE202+http://talks.robot-learning.net
14.10.202214:20-14:40Pascal Stenger, M.Sc. Intermediate Presentation: Advanced Monte-Carlo Tree Search for PlanningE202+http://talks.robot-learning.net
14.10.202214:00-14:20Pascal Herrmann, M.Sc. Intermediate Presentation: 6D Pose Estimation and Tracking for Ubongo 3DE202+http://talks.robot-learning.net
13.10.202211:00-12:00Takayuki Osa (University of Tokyo), Invited Talk: Objective function with multiple extrema in robot learningB002 and http://talks.robot-learning.net
7.10.202215:00-15:30Daljeet Nandha, M.Sc. Thesis Defense: Leveraging Large Language Models For Autonomous Task PlanningE202+http://talks.robot-learning.net
7.10.202214:30-15:00Georgia Chalvatzaki, Research Talk: Shaping Robotic Assistance through Structured Robot LearningS202|E202
7.10.202214:15-14:30Paul-Otto Müller, M.Sc. Intermediate Presentation: Learning Interpretable Representations for Visuotactile SensorsE202+http://talks.robot-learning.net
7.10.202214:00-14:15Mark Baierl, M.Sc. Intermediate Presentation: Score-Based Imitation LearningE202+http://talks.robot-learning.net
30.09.202214:30-15:30Paul Jansonnie, Research Talk: Skill Discovery through Task Generation for Robotic ManipulationE202+http://talks.robot-learning.net
30.09.202214:00-14:20Jascha Hellwig, M.Sc. Intermediate Presentation: Reinforcement Learning in Stable Vector FieldsE202+http://talks.robot-learning.net
26.09.202215:00-17:00Philip Becker-Ehmck, Ph.D. Thesis Defense: Latent State-Space Models for Controlhttp://phd-defenses.robot-learning.net
23.09.202213:30-15:00Masashi Sugiyama (RIKEN), Invited Talk: Recent advances in robust machine learningS208/171 Uhrenturmhörsaal
22.09.202217:30-19:30Tuan Dam, Ph.D. Thesis Defense: Sample Efficient Monte Carlo Tree Search for Roboticshttp://phd-defenses.robot-learning.net
1.09.202211:00-12:00Hermann Blum (ETH Zurich), Invited Talk: Self-improving robotic scene understandingS02 | 02 E202 or https://tu-darmstadt.zoom.us/j/69848175636?pwd=N0ozWSs5MEVNblRWT0krbm9FZmtHZz09
26.08.202214:15-14:35Julien Brosseit, M.Sc. Intermediate Presentation: Policy Optimization with Learning and PlanningE202+http://talks.robot-learning.net
26.08.202214:00-14:15Sebastian Szelag, M.Sc. Intermediate Presentation: Multi-Agent Reinforcement Learning for AssemblyE202+http://talks.robot-learning.net
12.08.202214:15-14:30Benedikt Hahner, M.Sc. Intermediate Presentation: Sim2GP: Bayesian Dynamics Models via Differentiable PhysicsE202+http://talks.robot-learning.net
12.08.202214:00-14:20Théo Vincent, M.Sc. Intermediate Presentation: Projected Bellman OperatorE202+http://talks.robot-learning.net
10.08.202214:00-15:00Felix Petersen TalkMornewegstraße 28, 64293 Darmstadt, hessian.AI, Room 3.1.01
5.08.202214:00-14:30Daljeet Nandha, M.Sc. Intermediate Presentation: Leveraging Large Language Models For Autonomous Task PlanningE202+http://talks.robot-learning.net
29.07.202215:00-15:45Joe Watson, Research Talk: Monte Carlo Posterior Policy Iteration with Gaussian ProcessesE202+http://talks.robot-learning.net
29.07.202214:20-14:50Wenhua Bao, M.Sc. Thesis Defense: Learning a Decision Module in Frenet Space by Imitating Control CommandsE202+http://talks.robot-learning.net
29.07.202214:00-14:20Ruidi He, M.Sc. Intermediate Presentation: Path Consistency Learning for Autonomous Car DrivingE202+http://talks.robot-learning.net
27.07.202213:00-14:003AI Lecture Series "Who I am" _ Invitation to Jannis Brugger's talkhttps://tu-darmstadt.zoom.us/j/66804616163?pwd=YW15YmJOMENTd3hOdmQ 4azVGdHRzQT09
22.07.202214:45-15:15Kuo Zhang, M.Sc. Thesis Defense: Learning Geometric Constraints for Safe Robot InteractionE202+http://talks.robot-learning.net
22.07.202214:00-14:45Niklas Funk, Research Talk: Robot Assembly DiscoveryE202+http://talks.robot-learning.net
18.07.202217:00-19:00Boris Belousov, Ph.D. Thesis Defense: On Optimal Behavior under Uncertainty in Humans and Robotshttp://tiny.cc/rarruz
15.07.202214:20-14:50Oliver Järnefelt, M.Sc. Intermediate Presentation: Sparsely Collaborative Multi-Agent Reinforcement LearningE202+http://talks.robot-learning.net
15.07.202214:00-14:20Darya Nikitina, B.Sc. Thesis Defense: Inference Methods for Markov Decision ProcessesE202+http://talks.robot-learning.net
13.07.202213:00-14:003AI Lecture Series "Who I am" _ Invitation to the first Lecture "RL , Transformers in RL"https://tu-darmstadt.zoom.us/j/69077364328?pwd=OVl6UFF4UVpvL0hucnp MUzJvTExJQT09
8.07.202214:00-14:30Maximilian Tölle, M.Sc. Thesis Defense: Curriculum Adversarial Reinforcement LearningE202+http://talks.robot-learning.net
7.07.202217:00-18:00Pete Florence (Google Research), Invited Talk: Robotics at GoogleE202+http://talks.robot-learning.net
6.07.202213:30-15:10Johannes Betz (U.Penn), Invited Talk: Autonomous Vehicles on the Edge - Learning to drive fast and accurate at the vehicle dynamics limitsUhrturmhörsaal S2|08/171
1.07.202214:30-15:00Piotr Kicki (Poznan University of Technology), Invited Talk: Learning for Motion PlanningS02|02 E202
1.07.202214:00-14:30Vilja Lott, B.Sc. Thesis Defense: Detecting an Intention for Interaction in a Human-Robot EnvironmentE202+http://talks.robot-learning.net
28.06.20228:30-9:00Nathalie Woortman, B.Sc. Thesis Defense: Comparing and Personalizing Human Following Behaviors for Mobile Ground RobotsE202+http://talks.robot-learning.net
23.06.202214:00-15:00Andreas Look, Research Talk: Cheap and Accurate Traffic Forecasting with Neural SDEsE202+http://talks.robot-learning.net
22.06.202216:00-17:00Hamish Flynn, Research Talk: An experimental comparison of PAC-Bayes bounds for contextual banditsE202+http://talks.robot-learning.net
17.06.202214:00-14:30Simon Kiefhaber, M.Sc. Thesis Defense: Leveraging Energy-Based Models for Multi-Object 6D Pose EstimationE202+http://talks.robot-learning.net
3.06.202214:30-15:00Amos Newswanger, M.Sc. Thesis Defense: Indoor Visual Navigation on Micro-Aerial Drones without External InfrastructureE202+http://talks.robot-learning.net
3.06.202214:00-14:30Simon Kohaut, Honor's Thesis Defense: Efficient Density Estimation for the Correlated Dirichlet DistributionE202+http://talks.robot-learning.net
30.05.202214:00-15:00C. Shawn Green (U. Wisconsin Madison), Invited Talk: Every task is a learning task (and should be treated as such)Raum S306/146
27.05.202211:40-13:30Save the date: May 27, 2022 - Talk by Turing Award Winner Jack DongarraMaschinenhaus S1|05 Room 122, Magdalenenstr. 12, 64289 Darmstadt
27.05.202211:40-13:40Jack Dongarra (University of Tennessee), Invited Talk: A Not So Simple Matter of SoftwareMaschinenhaus S1|05 Room 122, Magdalenenstr. 12, 64289 Darmstadt
20.05.202215:00-15:15Fabian Damken, Honor Thesis Defense: Random Fourier Series FeaturesE202+http://talks.robot-learning.net
20.05.202214:30-15:00Jan Schneider, M.Sc. Thesis Defense: Model Predictive Policy Optimization amidst Inaccurate ModelsE202+http://talks.robot-learning.net
20.05.202214:00-14:30Felix Kaiser, M.Sc. Thesis Defense: Multi-Object Pose Estimation for Robotic Applications in Cluttered ScenesE202+http://talks.robot-learning.net
16.05.202217:00-18:00Thomas Beckers (University of Pennsylvania), Invited Talk: Safe Learning-based Control for Mechanical SystemsS3|10 406/406A / https://tu-darmstadt.zoom.us/j/69949062481
13.05.202214:00-14:30Daniel Musekamp, M.Sc. Intermediate Presentation: Amortized VIPSE202+http://talks.robot-learning.net
6.05.202214:00-15:00Guillaume Duret, Research Talk: Generating a Synthetic Dataset for FruitsE202+http://talks.robot-learning.net
29.04.202214:30-15:00Simon Kohaut, M.Sc. Thesis Defense: Hybrid Probabilistic Logic Programming for Mission Design in Multimodal MobilityE202+http://talks.robot-learning.net
29.04.202214:00-14:30Filip Bjelonic, M.Sc. Thesis Defense: Learning-based design and control for soft quadrupedal robotsE202+http://talks.robot-learning.net
22.04.202215:30-16:00Jonas Günster, B.Sc. Thesis Defense: Learning the Low-level Policy for Robot Air HockeyE202+http://talks.robot-learning.net
22.04.202215:00-15:30Marek Daniv, B.Sc. Thesis Defense: Graph-Based Model Predictive Visual Imitation LearningE202+http://talks.robot-learning.net
22.04.202214:00-15:00Tim Welschehold (Uni Freiburg), Invited Talk: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic EnvironmentsE202+http://talks.robot-learning.net
8.04.202215:00-15:30Leon Magnus, B.Sc. Thesis Defense: Real-Time Object Tracking For AssemblyE202+http://talks.robot-learning.net
8.04.202214:30-15:00Heiko Carrasco, M.Sc. Thesis Defense: Particle-Based Adaptive Sampling for Curriculum LearningE202+http://talks.robot-learning.net
8.04.202214:00-14:30Maximilian Tölle, M.Sc. Intermediate Presentation: Curriculum Adversarial Reinforcement LearningE202+http://talks.robot-learning.net
28.03.202213:30-14:30Luca Lach (PAL), Invited Talk: NeuTouch - Improving Mobile Manipulation Performance using Tactile Sensors (date fixed, time tentative)S202/C205
25.03.202215:00-15:30Moritz Meser, B.Sc. Thesis Defense: Multi-Instance Pose Estimation for Robot MikadoE202+http://talks.robot-learning.net
25.03.202214:30-15:00Svenja Menzenbach, B.Sc. Thesis Defense: Leveraging Learned Graph-based Heuristics for efficiently solving the Combinatorics of AssemblyE202+http://talks.robot-learning.net
25.03.202214:00-14:30Max Siebenborn, B.Sc. Thesis Defense: Evaluating Decision Transformer Architecture on Robot Learning Taskshttp://tiny.cc/7askoz
18.03.202214:00-14:30Yannik Frisch, M.Sc. Thesis Defense: Analysis of Self-supervised Keypoint Detection Methods for Robot LearningE202+http://talks.robot-learning.net
11.03.202214:30-15:00Verena Sieburger, M.Sc. Thesis Defense: Development of a BaselineAgent in Robot Air HockeyE202+http://talks.robot-learning.net
11.03.202214:00-14:30Chen Xue, M.Sc. Thesis Defense: Task Classification and Local Manipulation ControllersE202+http://talks.robot-learning.net
4.03.202214:00-14:30Zhicheng Yang, M. Sc. Final Presentation: Exploring Gripping Behaviours for Human-Robot HandshakingE202+http://talks.robot-learning.net
25.02.202215:00-15:15Simon Kiefhaber, M.Sc. Intermediate Presentation: Leveraging Energy-Based Models for Multi-Object 6D Pose EstimationE202+http://talks.robot-learning.net
25.02.202214:00-15:00Rupert Mitchell (AIML), Invited Talk: Growing Neural Networks using Natural GradientsE202+http://talks.robot-learning.net
18.02.202214:00-14:30Heiko Carrasco, M.Sc. Intermediate Presentation: Optimal Sampling for Self-Paced Reinforcement LearningE202+http://talks.robot-learning.net
11.02.202217:00-18:00Byron Boots (University of Washington), Invited Talk: Machine Learning and Model Predictive Control for Adaptive Robotic SystemsE202+http://talks.robot-learning.net
4.02.202215:00-15:30Felix Kaiser, M.Sc. Intermediate Presentation: Multi-Object Pose Estimation for Robotic Applications in Cluttered ScenesE202+http://talks.robot-learning.net
28.01.202215:00-15:30Yifei Wang, M.Sc. Thesis Defense: Learning with Composable Energy PoliciesE202+http://talks.robot-learning.net
28.01.202214:30-15:00Filip Bjelonic, M.Sc. Intermediate Presentation: Learning-based design and control for soft quadrupedal robotsE202+http://talks.robot-learning.net
21.01.202215:00-15:30Nikita Rudin (NVIDIA and ETH Zurich), Invited Talk: Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement LearningE202+http://talks.robot-learning.net
21.01.202214:30-15:00Verena Sieburger, M.Sc. Intermediate Presentation: Playing Robot Air HockeyE202+http://talks.robot-learning.net
14.01.202216:00-16:30Lei Xu, M.Sc. Thesis Defense: Integrated AI planning for general-purpose robot manipulationE202+http://talks.robot-learning.net
14.01.202215:00-16:00Danny Driess (TU Berlin), Invited Talk: Learning for Long-Horizon Manipulation Planninghttp://tiny.cc/7askoz
14.01.202214:30-15:00Jan Schneider, M.Sc. Intermediate Presentation: Model Predictive Policy Optimization amidst Uncertain ModelsE202+http://talks.robot-learning.net
7.01.202215:00-16:00Aldo Pacchiano (Microsoft Research NYC), Invited Talk: Towards an Understanding of Transfer Learning in Reinforcement Learning Domainshttp://tiny.cc/7askoz
7.01.202214:00-14:15Pengfei Zhao, M.Sc. Thesis Defense: Improving Gradient Directions for Episodic Policy SearchE202+http://talks.robot-learning.net
20.12.202111:00-11:30Tom Buchholz, M.Sc. Thesis Defense: Variational Locally Projected RegressionE202+http://talks.robot-learning.net
17.12.202115:30-15:50Yannik Frisch, M.Sc. Intermediate Presentation: Unsupervised patch -wise contrastive learning of keypoints for prediction and controlE202+http://talks.robot-learning.net
17.12.202115:00-15:30Jiawei Huang, M.Sc. Thesis Defense: Multi-Objective Reactive Motion Planning in Mobile ManipulatorsE202+http://talks.robot-learning.net
17.12.202114:00-15:00Weiming Zhi (University of Sydney), Invited Talk: Diffeomorphic learning for sampling-based motion planning, generalised imitation learning\ , and beyondhttp://tiny.cc/7askoz
10.12.202114:00-15:00Thomas Schön (Uppsala University), Invited Talk: Deep Probabilistic Regressionhttp://tiny.cc/7askoz
3.12.202116:00-17:00Chengshu Li (Stanford University), Invited Talk: BEHAVIOR and iGibson 2.0 Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological EnvironmentsE202+http://talks.robot-learning.net
26.11.202114:00-14:30Martina Gassen, B.Sc. Thesis Defense: Learning a library of Physical Interactions for Social RobotsE202+http://talks.robot-learning.net
19.11.202115:00-17:00Michael Lutter, Ph.D. Thesis Defense: Inductive Biases for Machine Learning in Robotics and Controlhttps://tinyurl.com/79x846b
19.11.202111:15-11:30Lei Xu, M.Sc. Intermediate Presentation: Integrated AI planning for general-purpose robot manipulationE202+http://talks.robot-learning.net
19.11.202111:00-11:15Chen Xue, M.Sc. Intermediate Presentation: Task Classification and Local Manipulation ControllersE202+http://talks.robot-learning.net
16.11.202114:00-14:30Siwei Ju, Research Talk: Motor Sports and the Digital TwinB002
12.11.202114:20-14:50Nick Heppert, M.Sc. Thesis Defense: Articulated Object Tracking for Robot ManipulationE202+http://talks.robot-learning.net
12.11.202114:00-14:20Zhicheng Yang, M.Sc. Intermediate Presentation: Exploring Gripping Behaviours and Haptic Emotions for Human-Robot HandshakingE202+http://talks.robot-learning.net
5.11.202114:30-15:00Zihan Ye, Research Talk: Efficient Gradient-Based Variational Inference with GMMsE202+http://talks.robot-learning.net
5.11.202114:00-14:30Theo Gruner, M.Sc. Thesis Defense: Wasserstein-Optimal Bayesian System Identification for Domain RandomizationE202+http://talks.robot-learning.net
4.11.202115:30-17:30Hany Abdulsamad, Ph.D. Thesis Defense: Statistical Machine Learning for Stochastic Structured Systemshttps://tinyurl.com/79x846b
29.10.202115:00-15:45Andy Morgan (Yale), Invited Talk: Challenges of in-hand manipulationE202+http://talks.robot-learning.net
25.10.202118:30-21:30Stefan Loeckel, Ph.D. Thesis Defense: Machine Learning for Modeling and Analyzing of Race Car Drivershttps://tinyurl.com/4k728jp8
25.10.202114:00-15:00An Thai Le, Research Talk: Learning Task-parameterized Riemannian Motion Policieshttps://tinyurl.com/668j4s3c
22.10.202115:00-15:30Yifei Wang, M.Sc. Intermediate Presentation: Bimanual Control and Learning with Composable Energy PoliciesE202+http://talks.robot-learning.net
22.10.202114:30-15:00Tim Schneider, M.Sc. Thesis Defense: Active Inference for Robotic ManipulationE202+http://talks.robot-learning.net
20.10.202115:20-17:00Ruth Rosenholtz (MIT), Invited Talk: Demystifying the richness of visual perceptionhttps://tu-darmstadt.zoom.us/j/82363067583?pwd=c3A4OERoenRvNGorRHEyRmtSenRjdz09
15.10.202114:00-14:30Jiawei Huang, M.Sc. Intermediate Presentation: Multi-objective reactive motion planning in mobile manipulatorsE202+http://talks.robot-learning.net
8.10.202111:00-11:20Yannick Eich, M.Sc. Thesis Defense: Distributionally Robust Optimization for Hybrid Systemshttp://tiny.cc/7askoz
30.09.202114:30-14:50Mohammad Amin Ali, B.Sc. Thesis Defense: An Educational Framework for Robot LearningE202+http://talks.robot-learning.net
30.09.202114:00-14:30Hassan Wahba, B.Sc. Thesis Defense: Deep Object-centered Heuristic for Robot PlanningE202+http://talks.robot-learning.net
28.09.202117:00-18:30Fabio Muratore, Ph.D. Thesis Defense: Randomizing Physics Simulations for Robot Learninghttps://tu-darmstadt.zoom.us/j/89209756776?pwd=U1VmbUlQWm8zL0hScVRrVUhmMlB0QT09
23.09.202115:30-16:30New EventE202+http://talks.robot-learning.net
23.09.202115:30-16:00Cedric Derstroff, M.Sc. Thesis Defense: Memory Representations for Partially Observable Reinforcement LearningE202+http://talks.robot-learning.net
23.09.202115:00-15:30Mattis Kaemmerer, M.Sc. Thesis Defense: Measure-Valued Derivatives for Machine LearningE202+http://talks.robot-learning.net
23.09.202114:00-15:00Beren Millidge (Oxford), Invited Talk: Perspectives on Active Inference for continuous control in POMDPsE202+http://talks.robot-learning.net
20.09.202114:15-14:45Carlos Luis, Research Talk: Uncertainty Representations in Reinforcement LearningC205
20.09.202113:45-14:15Alessandro Bottero, Research Talk: Information-theoretic Safe ExplorationC205
20.09.202113:00-13:45Felix Berkencamp (BCAI), Invited Talk: Optimistic Exploration in Model-based Reinforcement LearningC205
16.09.202114:00-15:00Shikhar Bahl (CMU), Invited Talk: Neural Dynamic PoliciesE202+http://talks.robot-learning.net
9.09.202114:00-15:00Fabio Muratore, Research Talk: Learning from Randomized Physics SimulationsE202+http://talks.robot-learning.net
2.09.202115:00-15:30Jihao Andreas Lin, M.Sc. Thesis Defense: Functional Variational Inference for Bayesian Neural NetworksE202+http://talks.robot-learning.net
2.09.202114:30-15:00Haoyi Yang, M.Sc. Thesis Defense: Variational Inference for Curriculum Reinforcement LearningE202+http://talks.robot-learning.net
2.09.202114:00-14:30Niranth Sai, Research Talk: Skill Priors for Accelerating Reinforcement LearningE202+http://talks.robot-learning.net
26.08.202115:00-15:15Pengfei Zhao, M.Sc. Intermediate Presentation: Improving Gradient Directions for Episodic Policy SearchE202+http://talks.robot-learning.net
26.08.202114:30-15:00Frederik Wegner, M.Sc. Thesis Defense: Learning Tactile Representations from Vision-Based Tactile Sensors for Robotic Architectural AssemblyE202+http://talks.robot-learning.net
26.08.202114:00-14:30Lukas Schneider, B.Sc. Thesis Defense: Distributional Monte-Carlo Tree SearchE202+http://talks.robot-learning.net
19.08.202114:30-14:45Theo Gruner, M.Sc. Intermediate Presentation: Wasserstein-Optimal Distributional System Identification for Domain RandomizationE202+http://talks.robot-learning.net
19.08.202114:15-14:30Tom Buchholz, M.Sc. Intermediate Presentation: Variational Locally Projected RegressionE202+http://talks.robot-learning.net
19.08.202114:00-14:15Lukas Schneider, I.P. Conclusion: A Framework for Benchmarking Advances in MCTS in ChessE202+http://talks.robot-learning.net
12.08.202115:15-15:45Sebastian Seer, M.Sc. Intermediate Presentation: Learning Visual representations for Interactive tasksE202+http://talks.robot-learning.net
12.08.202114:45-15:15Cedric Derstroff, M.Sc. Intermediate Presentation: Memory Representations for Partially Observable Reinforcement LearningE202+http://talks.robot-learning.net
12.08.202114:00-14:45Jan-Matthis Lückmann, Research Talk: Simulation-Based Inference for Neuroscience and BeyondE202+http://talks.robot-learning.net
5.08.202114:00-14:45Tianyu Ren, Research Talk: Adaptive Task and Motion PlaningE202+http://talks.robot-learning.net
29.07.202115:00-15:45Joe Watson, Research Talk: Bayesian Inference for ControlE202+http://talks.robot-learning.net
29.07.202114:30-15:00Daniel Palenicek, M.Sc. Thesis Defense: Dyna-Style Model-based Reinforcement Learning with Value ExpansionE202+http://talks.robot-learning.net
29.07.202114:00-14:30Tim Schneider, M.Sc. Intermediate Presentation: Tactile Active InferenceE202+http://talks.robot-learning.net
23.07.202111:00-11:30Andreas Look, Research Talk: Neural SDEsE202+http://talks.robot-learning.net
23.07.202110:30-11:00Hamish Flynn, Research Talk: PAC Bayes Bound for Life-Long Reinforcement LearningE202+http://talks.robot-learning.net
22.07.202115:30-16:00Ricardo Grando, Research Talk: My experience with robotics and AI and a future outlookE202+http://talks.robot-learning.net
22.07.202114:45-15:30An Thai Le, Research Talk: Towards Human-Robot Collaboration with Logic-Geometric Programming and Human Motion PredictionE202+http://talks.robot-learning.net
22.07.202114:00-14:45Fabian Otto (BCAI), Invited Talk: Differentiable Trust Region Layers for Deep Reinforcement LearningE202+http://talks.robot-learning.net
15.07.202115:00-15:20Moritz Schneider, Research Talk: Disentangled Representations for Reinforcement LearningE202+http://talks.robot-learning.net
15.07.202114:30-15:00Antonello Scaldaferri, Research Talk: Learning Whole-Body Legged Locomotion Skills for Highly Dynamic TasksE202+http://talks.robot-learning.net
15.07.202114:00-14:30Yannick Eich, M.Sc. Intermediate Presentation: Distributionally Robust Optimization For Hybrid SystemsE202+http://talks.robot-learning.net
14.07.202115:20-16:20Nori Jacoby (Max Planck Institute for Empirical Esthetics), Invited Talk: Understanding Perceptual Priors with Massive Online Experimentsttps://tu-darmstadt.zoom.us/j/88155893549?pwd=TFBiVG96S3czeHlCakVt SHlEK0M4dz09
8.07.202115:00-15:30Hany Abdulsamad, Research Talk: Distributionally-Robust Stochastic Optimal ControlE202+http://talks.robot-learning.net
8.07.202114:30-15:00Hanyu Sun, M.Sc. Thesis Defense: Can we improve time-series classification with Inverse Reinforcement Learning?E202+http://talks.robot-learning.net
8.07.202114:00-14:30Lanmiao Liu, M.Sc. Thesis Defense: Detection and Prediction of Human Gestures by Probabilistic ModellingE202+http://talks.robot-learning.net
24.06.202114:30-15:00Yanhua Zhang, M.Sc. Thesis Defense: Memory Representations for Partially Observable Reinforcement LearningE202+http://talks.robot-learning.net
24.06.202114:00-14:30Jule Brendgen, M.Sc. Thesis Defense: The Relation between Social Interaction And Intrinsic Motivation in Reinforcement LearningE202+http://talks.robot-learning.net
17.06.202114:30-15:15Boris Belousov, Research Talk: Touch2Feel — Tactile Active Inferencehttp://tiny.cc/7askoz
17.06.202114:00-14:30Michel Kohl, M.Sc. Thesis Defense: Learning Latent Interaction Models using Interaction PrimitivesE202+http://talks.robot-learning.net
10.06.202114:30-15:30Junning Huang, Research Talk: Model-based Reinforcement Learning for Plate SpinningE202+http://talks.robot-learning.net
10.06.202114:00-14:30Mattis Kaemmerer, M.Sc. Intermediate Presentation: Measure-Valued Derivatives for Machine LearningE202+http://talks.robot-learning.net
27.05.202114:30-15:30Philip Becker-Ehmck, Research Talk: Empowered Explorationhttp://tiny.cc/7askoz
27.05.202114:00-14:30Simon Kohaut, Honor Thesis Defense: Visual Perception for Assistive Robotshttp://tiny.cc/7askoz
20.05.202114:30-15:00Tuan Dam, Research Talk: Monte-Carlo Tree Search and its application in Robot Path Planninghttp://tiny.cc/7askoz
20.05.202114:00-14:30Alessandro Vincenti, B.Sc. Thesis Defense: Developing a Robot Head for Internal State VisualizationE202+http://talks.robot-learning.net
17.05.202115:00-16:00Nikolai Matni (University of Pennsylvania), Invited Talk: Robust Learning for Safe Controlhttps://zoom.us/j/556365602?pwd=a0hsTHZURnF5akd2OTI0ektRNno2dz09
12.05.202111:30-12:00Joao Carvalho, Research Talk: An Analysis of MVDs for Reinforcement LearningE202+http://talks.robot-learning.net
12.05.202111:00-11:30Kay Hansel, M.Sc. Thesis Defense: Probabilistic Dynamic Mode PrimitvesE202+http://talks.robot-learning.net
12.05.202110:30-11:00David Rother, M.Sc. Thesis Defense: Reinforcement Learning in Decentralized Multi-Goal Multi-Agent SettingsE202+http://talks.robot-learning.net
6.05.202114:30-15:00Niklas Funk, Research Talk: Real Robot Challenge 2020 - Overview of Methods and their effectivenessE202+http://talks.robot-learning.net
6.05.202114:00-14:30Frederik Wegner, M.Sc. Intermediate Presentation: Learning Vision- Based Tactile Representations for Robotic Architectural AssemblyE202+http://talks.robot-learning.net
29.04.202114:00-14:30Puze Liu, Research Talk: Air Hockey and Null Space OptimizationE202+http://talks.robot-learning.net
22.04.202115:00-15:45Felix Frank (VW Data Labs), Invited Talk: Constrained probabilistic movement primitiveshttp://tiny.cc/7askoz
22.04.202114:30-15:00Moritz Andres, B.Sc. Thesis Defense: Person Recognition via Videodata and Audiodatahttp://tiny.cc/7askoz
22.04.202114:00-14:30Axel Patzwahl, M.Sc. Thesis Defense: Multi-sensor Fusion for Target Motion Prediction with an Application to Robot Baseballhttp://tiny.cc/7askoz
15.04.202114:30-15:00Zhenhui Zhou, M.Sc. Thesis Defense: Approximate Policy Search in Black Box Optimizationhttp://tiny.cc/7askoz
15.04.202114:00-14:30Franziska Herbert, B.Sc. Thesis Defense: Using Multimodal Human Feedback for Reinforcement Learninghttp://tiny.cc/7askoz
8.04.202114:30-15:00Jianhang He, M.Sc. Thesis Defense: Imitation Learning using Energy Based Modelshttp://tiny.cc/7askoz
8.04.202114:00-14:30Jonas Eschmann, M.Sc. Thesis Defense: Partially Unsupervised Deep Meta Reinforcement Learninghttp://tiny.cc/7askoz
1.04.202114:00-15:00Pascal Klink, Research Talk: Global Optimization in Machine Learning ApplicationsE202+http://talks.robot-learning.net
25.03.202114:30-14:45Jule Brendgen, M.Sc. Intermediate Presentation: The Relation between Social Interaction And Intrinsic Motivation in Reinforcement LearningE202+http://talks.robot-learning.net
25.03.202114:00-14:30Yug Ajmera, M.Sc. Intermediate Presentation: Learning Movement Primitives for Handshaking BehavioursE202+http://talks.robot-learning.net
18.03.202114:00-14:15Haoyi Yang, M.Sc. Intermediate Presentation: Variational Inference for Curriculum Reinforcement LearningE202+http://talks.robot-learning.net
11.03.202115:00-15:30Gabriele Libardi, Invited Talk: Guided Exploration with Proximal Policy Optimization using a Single DemonstrationE202+http://talks.robot-learning.net
11.03.202114:00-15:00Julen Urain, Research Talk: Imitation FlowsE202+http://talks.robot-learning.net
4.03.202115:00-15:30Marius Zoeller, B.Sc. Thesis Defense: Graph NetworksE202+http://talks.robot-learning.net
4.03.202114:30-15:00Moritz Andres, B.Sc. Intermediate Presentation: Person Recognition via Videodata and AudiodataE202+http://talks.robot-learning.net
4.03.202114:00-14:30Kay Hansel, M.Sc. Intermediate Presentation: Probabilistic Dynamic Mode PrimitivesE202+http://talks.robot-learning.net
25.02.202114:00-15:00Michael Lutter, Research Talk: Inductive Biases for Robot Learninghttp://tiny.cc/7askoz
18.02.202114:15-14:30Yanhua Zhang, M.Sc. Intermediate Presentation: Memory Representations for Partially Observable Reinforcement Learninghttp://tiny.cc/7askoz
18.02.202114:00-14:15Franziska Herbert, B.Sc. Intermediate Presentation: Using Multimodal Human Feedback for Reinforcement Learninghttp://tiny.cc/7askoz
11.02.202114:15-14:30Lanmiao Liu, M.Sc. Intermediate Presentation: Gestures Density Modelshttp://tiny.cc/7askoz
11.02.202114:00-14:15Hanyu Sun, M.Sc. Intermediate Presentation: Action Recognitionhttp://tiny.cc/7askoz
4.02.202114:30-15:00Janosch Moos, M.Sc. Thesis Defense: Approximate Variational Inference for Mixture Modelshttp://tiny.cc/7askoz
4.02.202114:00-14:30Jan Rathjens, M.Sc. Thesis Defense: Accelerated Policy Searchhttp://tiny.cc/7askoz
28.01.202115:00-15:15Jianhang He, M.Sc. Intermediate Presentation: Imitation Learning using Energy-Based Modelhttp://tiny.cc/7askoz
28.01.202114:00-15:00Claudio Zito (TII), Invited Talk: Feature-Based Transfer Learning for Robotic Push Manipulationhttp://tiny.cc/7askoz
14.01.202114:30-14:45Zhenhui Zhou, M.Sc. Intermediate Presentation: Multi Modal Policy Search using Normalizing Flowhttp://tiny.cc/7askoz
14.01.202114:00-14:30David Rother, M.Sc. Intermediate Presentation: Reinforcement Learning in Decentralized Multi-Goal Multi-Agent Settingshttp://tiny.cc/7askoz
7.01.202114:00-14:30Felix Helfenstein, B.Sc. Thesis Defense: Benchmarking Deep Reinforcement Learning AlgorithmsE202+http://talks.robot-learning.net
21.12.202016:30-18:00Samuele Tosatto, Ph.D. Thesis Defense: Reinforcement Learning for Roboticshttp://tiny.cc/7askoz
17.12.202015:00-16:00Matthew Gombolay (Georgia Tech), Invited Talk: Democratizing Robot Learning for Human-Robot Teaminghttp://tiny.cc/7askoz
17.12.202014:30-15:00Jonas Eschmann, M.Sc. Intermediate Presentation: Partially Supervised Deep Meta Reinforcement Learning for Sim2Real Transferhttp://tiny.cc/7askoz
17.12.202014:00-14:30Janosch Moos, M.Sc. Intermediate Presentation: Approximate Variational Inference for Mixture Modelshttp://tiny.cc/7askoz
10.12.202015:00-15:20Axel Patzwahl, M.Sc. Intermediate presentation: Multi-sensor Fusion for Target Motion Prediction with an Application to Robot Baseballhttp://tiny.cc/7askoz
10.12.202014:30-15:00Fabian Damken, B.Sc. Thesis Defense: Variational Autoenconders for Koopman Dynamical Systemshttp://tiny.cc/7askoz
10.12.202014:00-14:30Moritz Schramm, B.Sc. Thesis Defense: Development of an Interactive Gesture Recognition System for an Assistive Robothttp://tiny.cc/7askoz
8.12.202015:30-18:00Roberto Lampariello, Ph.D. Thesis Defense: Optimal Motion Planning for Object Interception and Graspinghttp://tiny.cc/7askoz
3.12.202015:30-17:30Daniel Tanneberg, Ph.D. Thesis Defense: Understand-Compute-Adapt: Neural Networks for Intelligent Agentshttp://tiny.cc/7askoz
3.12.202011:30-12:30Mario Zanon (IMT Lucca), Invited Talk at MPI-IS-EI: Reinforcement Learning based on Model Predictive Controlhttps://zoom.us/j/556365602?pwd=a0hsTHZURnF5akd2OTI0ektRNno2dz09
26.11.202014:30-15:00Rustam Galljamov, M.Sc. Thesis Defense: Sample-efficient learning-based controller for bipedal walking in robotic systemshttp://tiny.cc/7askoz
26.11.202014:00-14:30Albert Schotschneider, M.Sc. Thesis Defense: Learning High-Level Behavior for Autonomous Vehicleshttp://tiny.cc/7askoz
20.11.202013:00-13:30Maximilian Stasica, M.Sc. Thesis Defense: Comparison of human motor control models and their application to roboticshttps://tu-darmstadt.zoom.us/j/8169149370
19.11.202015:00-15:30Tim Dorau, M.Sc. Thesis Defense: Distributionally Robust Optimization for Optimal Controlhttp://tiny.cc/7askoz
19.11.202014:00-15:00Zico Kolter (CMU), Invited Talk: Equilibrium approaches to deep learning: One (implicit) layer is all you needhttp://tiny.cc/7askoz,
12.11.202015:00-16:00Nathan Ratliff (NVIDIA), Invited Talk: Geometric fabrics: Transparent tools for behavior engineeringhttp://tiny.cc/7askoz
5.11.202014:00-15:00Emtiyaz Khan (RIKEN AIP), Invited Talk: Bayesian Principles for Learning Machineshttp://tiny.cc/7askoz
29.10.202014:00-15:00Gergely Neu (UPF), Invited Talk: Logistic Q-Learninghttp://tiny.cc/7askoz
22.10.202014:00-14:15Moritz Schramm, B.Sc. Intermediate Presentation: Development of an Interactive Gesture Recognition System for an Assistive Robothttp://tiny.cc/7askoz
20.10.202011:00-12:00Martin Pecka, Research Talk: Safe Autonomous Reinforcement Learninghttps://tu-darmstadt.zoom.us/j/89741914997
15.10.202014:15-14:30Mark Baierl, B.Sc. Thesis Defense: Learning action representations for primitives-based Humanoid controlhttp://tiny.cc/7askoz
15.10.202014:00-14:15Erik Samstag, B.Sc. Thesis Defense: Bayesian Optimization for Biochemical Dose Response Measurementshttp://tiny.cc/7askoz
1.10.202014:30-15:00Patrick Krabbe, M.Sc. Thesis Defense: Learning Riemannian Movement Primitives for Manipulationhttp://tiny.cc/7askoz
1.10.202014:00-14:30Okan Koc (Amazon), Invited Talk: Safe Learning Control: What is out there and what is not?http://tiny.cc/7askoz
23.09.202010:00-11:00Oleg Arenz, Ph.D. Thesis Defense: Sample-Efficient I-Projections for Robot Learninghttp://tiny.cc/7askoz
22.09.202011:30-12:00Jia-Jie Zhu, Research Talk: Robust Learning Meets Robust Optimization -- Introduction to Distributionally Robust OptimizationLink on request
17.09.202016:30-17:00Thomas Lautenschläger, M.Sc. Thesis Defense: Variational Inference For Switching Dynamicshttp://tiny.cc/7askoz
17.09.202016:00-16:30Alexander Klein, M.Sc. Thesis Defense: Learning Robot Grasping of Industrial Work Pieces using Dense Object Descriptorshttp://tiny.cc/7askoz
17.09.202015:00-16:00Marc Toussaint (TU Berlin), Invited Talk: Learning to do as plannedhttp://tiny.cc/7askoz
10.09.202015:00-15:30Markus Semmler, M.Sc. Thesis Defense: Sequential Bayesian Optimal Experimental Designhttp://tiny.cc/7askoz
10.09.202014:00-15:00Michael Gienger (Honda Research Institute), Invited Talk: Dexterous Cooperationhttp://tiny.cc/7askoz
3.09.202014:45-15:30Oleg Arenz, Research Talk: Sample-Efficient I-Projections for Robot Learninghttp://tiny.cc/7askoz
3.09.202014:00-14:45Simon Guist, Research Talk: Hindsight State Manipulationhttp://tiny.cc/7askoz
27.08.202014:00-14:45Guilherme Maeda (Preferred Networks), Invited Talk: Phase portraits as movement primitives for fast humanoid robot controlhttp://tiny.cc/7askoz
20.08.202015:00-16:00Stephen Tu (Google Brain), Invited Talk: Learning Stability Certificates from Datahttp://tiny.cc/7askoz
20.08.202014:30-14:45Jan Rathjens, M.Sc. Intermediate Presentation: Accelerated Policy Searchhttp://tiny.cc/7askoz
13.08.202017:30-18:15Abdeslam Boularias (Rutgers U), Invited Talk: Model Identification for Robotic Manipulationhttp://tiny.cc/7askoz
13.08.202014:45-15:00Fabian Damken, B.Sc. Intermediate Presentation: Variational Autoenconders for Koopman Dynamical Systemshttp://tiny.cc/7askoz
13.08.202014:30-14:45Mark Baierl, B.Sc. Intermediate Presentation: Learning action representations for primitives-based Humanoid controlhttp://tiny.cc/7askoz
13.08.202014:00-14:30Janosch Moos, Kay Hansel, Honor Thesis Defense: Survey on Robust Reinforcement Learninghttp://tiny.cc/7askoz
6.08.202014:45-15:30Tuan Dam, Research Talk: Convex Regularization in Monte-Carlo Tree Searchhttp://tiny.cc/7askoz
6.08.202014:00-14:45Andras Kupcsik (BCAI), Invited Talk: Fast Learning and Sequencing of Object-centric Robot Manipulation Skillshttp://tiny.cc/7askoz
30.07.202014:45-15:15Rustam Galljamov, M.Sc. Intermediate Presentation: Sample-efficient learning-based controller for bipedal walking in robotic systemshttp://tiny.cc/7askoz
30.07.202014:00-14:45Takayuki Osa (Kyushu U), Invited Talk: Motion Planning by Learning Latent Representationshttp://tiny.cc/7askoz
28.07.202011:00-12:00Max Welling (Uni Amsterdam), Invited Talk: Graph Nets and Equivariance: The Next Generationhttp://tiny.cc/7askoz
23.07.202014:00-14:30Eike Mentzendorff, M.Sc. Thesis Defense: Multi-Objective Deep Reinforcement Learning through Manifold Optimizationhttp://tiny.cc/7askoz
16.07.202014:00-14:30Johannes Silberbauer, M.Sc. Thesis Defense: A Differentiable Newton Euler Algorithm for Multi-body Model Learninghttp://tiny.cc/7askoz
15.07.202014:00-16:00IP Intermediate Presentation's Zoom Meetinghttps://tu-darmstadt.zoom.us/j/97850134157?pwd=a1RFOUNBbzd3V0xrZ2I 0alFVaGIwQT09
9.07.202014:00-14:45Jens Kober (TU Delft), Invited Talk: Robots Learning [Through] Interactionshttp://tiny.cc/7askoz
2.07.202014:00-14:30Claas Voelcker, Honor Thesis Defense: Sequential Monte Carlo Input Inference for Controlhttp://tiny.cc/7askoz
25.06.202014:45-15:15Vini Marconie Tengang, M.Sc. Thesis Defense: 3D Pose Estimation for Robot Mikadohttp://tiny.cc/7askoz
25.06.202014:00-14:45Philip Becker-Ehmck, Research Talk: Deep Onboard Quadcopter Control via Model-Based Reinforcement Learninghttp://tiny.cc/7askoz
18.06.202017:45-18:30Simon Guist, Research Talk: Hindsight State Manipulationhttp://tiny.cc/7askoz
18.06.202017:00-17:45Roberto Calandra (Facebook), Invited Talk: Rethinking Model-based Reinforcement Learninghttp://tiny.cc/7askoz
18.06.202016:00-17:00Yijiang Huang (MIT), Invited Talk: Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusionhttp://tiny.cc/7askoz
11.06.202015:30-16:00Qin Li, Research Talk: Human Motion Prediction Based on Graph Convolutional Networkhttp://tiny.cc/7askoz
11.06.202015:00-15:30Stephane Tekam, M.Sc. Thesis defense: Policy Optimization via Gaussian Mixture Modelhttp://tiny.cc/7askoz
11.06.202014:00-15:00Herke van Hoof (UVA), Invited Talk: Learning heuristics for combinatorial optimizationhttp://tiny.cc/7askoz
4.06.202014:00-14:30Yang Weng (U. Tokyo), Invited Talk: Reinforcement Learning Based Underwater Wireless Optical Communication Alignment for Multiple Autonomous Underwater Vehicleshttp://tiny.cc/7askoz
28.05.202014:00-14:45Christoph Zimmer (BCAI), Invited Talk: Safe active learning for time series modeling with gaussian processeshttp://tiny.cc/7askoz