DateTimeEventLocation
4.07.202514:30-15:30Theo Vincent, Research Talk: Optimizing the Learning Trajectory of Reinforcement Learning AgentsE202+http://talks.robot-learning.net
4.07.202514:00-14:30Erik Helmut, Applicant Talk: Teaching Robots the Language of TouchE202+http://talks.robot-learning.net
20.06.202514:00-14:30Arne Bick, M.Sc. Thesis Defense: Quadrupedal Gait on Oscillating SurfacesE202+http://talks.robot-learning.net
13.06.202514:00-14:45Carlotta Sartore (IIT), Invited Talk: Towards Embodied Cognition for Humanoid Robots: How to Generate Intelligent Bodies and BehaviorE202+http://talks.robot-learning.net
6.06.202514:45-15:15Jiahui Shi, M.Sc. Thesis Defense: Hybrid Force Impedance Controller for Robot ManipulatorsS3|10-406A and http://talks.robot-learning.net
6.06.202514:00-14:30Simon Groeger, M.Sc. Thesis Defense: End-to-End Learning Using Differentiable MPC for Mobile Robot NavigationS3|10-406A and http://talks.robot-learning.net
30.05.202514:00-14:30Philipp Jahr, M.Sc. Thesis Defense: Comparing Residual Reinforcement Learning Strategies With A Stable Vector Field Base PolicyE202+http://talks.robot-learning.net
23.05.202514:30-15:00Haris Cavkic, M.Sc. Thesis Defense: Flow Matching for Industrial Motion Planning: Learning Trajectory Distributions for Real-World ApplicationsE202+http://talks.robot-learning.net
23.05.202514:00-14:30Rolf Gattung, M.Sc. Thesis Defense: Learning Pole Balancing from High-Frequency Tactile FeedbackE202+http://talks.robot-learning.net
16.05.202515:00-15:30Jan Sammet, B.Sc. Thesis Defense: Decentralized Operation of Urban Water Distribution Networks Using Multi-Agent Reinforcement LearningE202+http://talks.robot-learning.net
16.05.202514:00-15:00An Thai Le, Mock Defense: Tensor Search Methods for Vectorizing Motion PlanningE202+http://talks.robot-learning.net
15.05.202517:00-18:00Daniel Quevedo (University of Sidney), Invited Talk: Thompson Sampling for Channel Selection in Networked Estimation and ControlS3|11 0012
9.05.202514:30-14:45Philip Hirschle, M.Sc. Thesis Defense: Scalable foundation model robot policyE202+http://talks.robot-learning.net
9.05.202514:00-14:30Tristan Jacobs, M.Sc. Thesis Defense: Benchmarking Generalist PoliciesE202+http://talks.robot-learning.net
8.05.202512:45-13:30Sebastian Zach, M.Sc. Thesis Defense: Reactive Motion Generation through Probabilistic Dynamic GraphsS2|02 Besprechungsräume - E202
2.05.202514:00-14:45Ken Simoteit, Applicant Talk: Contractive robot learning with obstacle avoidance and manifold flowsE202+http://talks.robot-learning.net
18.04.202515:00-15:30Florian Wolf, M.Sc. Thesis Defense: Hidden Convexity Optimization with Functional ConstraintsE202+http://talks.robot-learning.net
11.04.202514:00-14:30Nick Striebel, M.Sc. Thesis Defense: Bimanual Imitation LearningS1|03 07 - Hochschulstr. 1
28.03.202514:00-14:30Bjarne Freund, B.Sc. Thesis Defense: Isaac Sim Integration in the MushroomRL Library for Locomotion LearningE202+http://talks.robot-learning.net
20.03.202514:00-15:00Iolanda Leite (KTH Royal Institute of Technology), Invited Talk: Robots (Still) Need Humans in the LoopS2|02 A102
20.03.202510:00-12:00Lisa Kempf, Ph.D. Thesis Defense: Learning from Imperfect Human Input in Interactive Machine LearningS1|03/221
14.03.202514:30-15:00Philip Hirschle, M.Sc. Thesis Defense: Scalable Foundation Model Robot PolicyE202+http://talks.robot-learning.net
7.03.202514:30-15:15Lu Liu, M.Sc. Thesis Defense: Learning Robot Locomotion from Diverse DatasetsE202+http://talks.robot-learning.net
7.03.202514:00-14:30Maria Ibrahim, B.Sc. Thesis Defense: Non-verbal Communication in Human-Robot Shared WorkspacesE202+http://talks.robot-learning.net
28.02.202514:30-15:00Philip Hirschle, M.Sc. Thesis Intermediate Presentation: Scalable Foundation Model Robot PolicyE202+http://talks.robot-learning.net
28.02.202514:00-14:30Janis Lenz, M.Sc. Thesis Final Presentation: Integration of Vision and Tactile Sensing for Robotic Insertion Tasks using Deep Reinforcement LearningE202+http://talks.robot-learning.net
14.02.202514:30-14:45Philip Hirschle, M.Sc. Thesis Intermediate Presentation: Scalable foundation model robot policyE202+http://talks.robot-learning.net
14.02.202514:30-14:45Philip Hirschle, M.Sc. Thesis Intermediate Presentation: Scalable foundation model robot policyE202+http://talks.robot-learning.net
14.02.202514:00-14:30Yasemin Goeksu, M.Sc. Thesis Defense: Robotic Pouring with Self-supervised Learning from Video-DemonstrationsE202+http://talks.robot-learning.net
12.02.202515:20-17:00Cathleen Moore (Iowa), Invited Talk: To be announcedBuilding S1|15 Room 133
7.02.202514:00-14:30Zhiyuan Hu, M.Sc. Thesis Defense: On entropy-regularized policy improvement in offline reinforcement learningE202+http://talks.robot-learning.net
5.02.202515:20-17:00David Franklin (TUM), Invited Talk: To be announcedBuilding S1|15 Room 133
31.01.202515:00-15:30Max Siebenborn, Applicant Talk: Advancing Robotic Intelligence Through Data-Efficient Learning, Decision-Making, and ControlA102+http://talks.robot-learning.net
31.01.202514:30-15:00Martin Steinborn, M.Sc. Thesis Defense: Multi-Person Pose Tracking Using Dynamically Gated SimilaritiesA102+http://talks.robot-learning.net
31.01.202514:00-14:30Junyi Chen, B.Sc. Thesis Defense: Active Sampling for Tactile Hardness ExplorationE202+http://talks.robot-learning.net
29.01.202515:20-17:00Felix Wichmann (Tuebingen), Invited Talk: To be announcedBuilding S1|15 Room 133
24.01.202515:00-15:30Jonathan Kinzel, M.Sc. Thesis Defense: On-robot Deep Reinforcement Learning for Quadruped LocomotionE202+http://talks.robot-learning.net
24.01.202514:00-15:00Claudius Kienle, Research Talk: TAMP with LLMs for Grounded Natural-Language Robot ProgrammingE202+http://talks.robot-learning.net
17.01.202516:00-17:00Ed Johns (Imperial), Invited Talk: Robot Learning Beyond Behavioural CloningE202+http://talks.robot-learning.net
17.01.202514:00-16:00Joao Carvalho, Ph.D. Thesis Defense: Enhancing Robot Manipulation Skills through LearningS2|02 B002&A102 - A102
15.01.202515:20-17:00Johann Bauer (TU Darmstadt), Invited Talk: To be announcedBuilding S1|15 Room 133
20.12.202415:00-15:30Florian Wolf, Intermediate Presentation: Hidden Convexity Optimization with Functional ConstraintsE202+http://talks.robot-learning.net
20.12.202414:30-15:00Max Siebenborn, M.Sc. Thesis Defense: Imitation Learning for Humanoid Motor SkillsE202+http://talks.robot-learning.net
20.12.202414:00-14:30Felix Nonnengießer, M.Sc. Thesis Defense: Visuotactile In-hand Pose EstimationE202+http://talks.robot-learning.net
19.12.202414:00-15:00Nadia Figueroas TalkRoom 12, Landwehrstraße 50A, 64293 Darmstadt, Deutschland
13.12.202414:00-14:30Marius Glaser, B.Sc. Thesis Defense: Real2Sim for Play-Doh ManipulationE202+http://talks.robot-learning.net
11.12.202419:30-21:30Puze Liu, Ph.D. Thesis Defense: Safe Reinforcement Learning for Robotics: From Exploration to Policy LearningA102 and http://talks.robot-learning.net
11.12.202415:20-17:00Olivier Penacchio (St Andrews), Invited Talk: To be announcedBuilding S1|15 Room 133
10.12.202417:30-19:30Joe Watson, Ph.D. Thesis Defense: Inference, Models & Priors for ControlB002 and https://talks.robot-learning.net
10.12.202410:00-10:30Simon Muchau, M.Sc. Thesis Defense: Beurteilung der Anwendung von End-to-End Ansätzen auf automatisierten Fahrfunktionen von StraßenbahnenE202+http://talks.robot-learning.net
6.12.202414:00-16:00Carlos Luis, Ph.D. Thesis Defense: Uncertainty in Model-Based Reinforcement LearningB002 and talks.robot-learnining.net
6.12.202411:00-12:00Marc Bellemare (Reliant AI and McGill), Invited Talk: Distributional Reinforcement Learning: A richer model of agent-environment interactionsB002 and talks.robot-learnining.net
4.12.202415:20-17:00Jolande Fooken (TU Darmstadt), Invited Talk: Patterns of eye-hand coordination in multi-taskingBuilding S1|15 Room 133
29.11.202414:30-15:00Patrick Siebke, M.Sc. Thesis Defense: Quasimetric Reinforcement LearningE202+http://talks.robot-learning.net
29.11.202414:00-14:30Moritz Meser, M.Sc. Thesis Defense: Model Predictive Control of HumanoidsE202+http://talks.robot-learning.net
27.11.202415:20-17:00Paul Bays (Cambridge), Invited Talk: Neurocomputational basis of visual working memoryBuilding S1|15 Room 133
25.11.202415:30-17:00Yuke Zhu (UT Austin & NVIDIA), Invited talk: : Data Pyramid and Data Flywheel for Robotic Foundation ModelsS101/A3 (Only in person)
22.11.202415:15-15:45Benedikt Hahner, M.Sc. Thesis Defense: Posterior Sampling Reinforcement Learning with Function-space Variational InferenceE202+http://talks.robot-learning.net
22.11.202414:45-15:15Qiao Sun, M.Sc. Thesis Defense: Grasp Diffusion NetworkE202
22.11.202414:15-14:45An Thai Le, Research Talk: Global Tensor Motion PlanningE202+http://talks.robot-learning.net
20.11.202415:20-17:00Anna Hughes (Essex), Invited Talk: TBABuilding S1|15 Room 133
15.11.202414:30-15:00Niklas Hellinger, M.Sc. Thesis Defense: Calibrating F/T SensorsE202
15.11.202414:00-14:30Noah Farr, B.Sc. Thesis Defense: On Designing Reward Functions for Robotic TasksE202+http://talks.robot-learning.net
13.11.202415:20-17:00Meike Ramon (Lausanne), Invited Talk: Natural and synthetic face recognition research - fundament and societal benefitsBuilding S1|15 Room 133
13.11.202413:45-15:00Rika Antonova (Cambridge), Invited Talk: The Ingredients for Efficient Robot Learning and ExplorationE202+http://talks.robot-learning.net
6.11.202415:20-17:00Mate Lengyel (Cambridge), Invited Talk: Normative models of cortical dynamicsBuilding S1|15 Room 133
1.11.202415:30-16:00Denis Andric, M.Sc. Defense: Implementation of Neural Models for Accurate prediction of trajectories in hamiltonian systems: A Graph Neural Network Approach(Online) http://talks.robot-learning.net
1.11.202414:00-14:30Noah Becker, E.P. Conclusion: Integrating and Evaluating Visuo-tactile Sensing with Haptic Feedback for Teleoperated Robot ManipulationE202+http://talks.robot-learning.net
30.10.202415:20-17:00Lynn Schmittwilken (TU Berlin), Invited Talk: Vast visual inhomogeneities across the foveola revealed by a new foveal perimetry methodBuilding S1|15 Room 133
25.10.202414:30-15:00Felix Nonnengießer, M.Sc. Intermediate Presentation: Visuotactile In-Hand Pose EstimationE202+http://talks.robot-learning.net
25.10.202414:00-14:30Yuheng Ouyan, M.Sc. Thesis Defense: Hierarchical Reinforcement Learning with Self-Play for Robotic Air HockeyE202+http://talks.robot-learning.net
23.10.202415:20-17:00Leonie Oostwoud Wijdenes (Radboud), Invited Talk: Variability in sensorimotor controlBuilding S1|15 Room 133
18.10.202415:00-15:30Faran Ahmad, B.Sc. Thesis Defense: Diminishing Return of Value Expansion Methods in Discrete Model-Based Reinforcement LearningE202+http://talks.robot-learning.net
18.10.202414:30-15:00Tristan Tisch, M.Sc. Thesis Defense: Dynamic Multi-Agent Reward SharingE202+http://talks.robot-learning.net
18.10.202414:00-14:30Duc Huy Nguyen, B.Sc. Thesis Defense: Simulation of Vision-Based Tactile Sensors for Reinforcement LearningE202+http://talks.robot-learning.net
16.10.202415:30-16:30Cristian Guillermo Gebhardt (U. Bergen), Invited Talk: Formulation , Analysis and Solution of Optimization Subproblems in Data-Driven Computational MechanicsGeb.: L5|06, Raum: 11
16.10.202415:20-17:00Thomas Wallis - Bayesian adaptive estimation of high-dimensional psychometric functions using particle filteringTU Darmstadt
11.10.202415:00-15:30Daniel Dennert, B.Sc. Thesis Defense: Diminishing Return of Value Expansion Methods in Offline Model-Based Reinforcement LearningE202+http://talks.robot-learning.net
11.10.202414:30-15:00Frederik Heller, B.Sc. Thesis Defense: Learning Object Stress and Deformation With Graph Neural NetworksE202+http://talks.robot-learning.net
11.10.202414:00-14:30Jonas Ringsdorf, M.Sc. Thesis Defense: Diverse Value Oriented Populations for Zero-Shot LearningE202+http://talks.robot-learning.net
1.10.202411:00-11:45Changqi Chen, M.Sc. Thesis Defense: Learning Tactile Manipulation Policies from Human DemonstrationsE202
27.09.202414:00-14:20Max Siebenborn, M.Sc. Intermediate Presentation: Imitation Learning for Humanoid Motor SkillsE202+http://talks.robot-learning.net
20.09.202415:00-15:15Haoran Ding, M.Sc. Thesis Defense: Safe Flow-Based Robot Motion PoliciesE202+http://talks.robot-learning.net
20.09.202414:45-15:00Tim Henze, M.Sc. Thesis Defense: Enhancng Multi-Modal Foundation Model Training via Image CaptioningE202+http://talks.robot-learning.net
20.09.202414:00-14:45Davide Tateo, Research Talk: Safe and robust real-world robot learningE202+http://talks.robot-learning.net
19.09.202417:15-18:30Esteban Cosserat, M.Sc. Thesis Defense: Refining Vision-Based 6D Pose Estimation Using Tactile Sensinghttps://ec-lyon-fr.zoom.us/j/91977781000
16.09.202415:00-15:45Tingzhong Fu, Research Talk: Intelligent robot systems powered by 6G native Al and multi-modal modal integrated sensingB002, no Zoom
12.09.202416:00-17:00Daniel Palenicek, Research Talk (at BeNeRL): Sample Efficiency in Deep RL: Quo Vadis?https://www.benerl.org/seminar-series
6.09.202415:15-15:40Patrick Siebke, M.Sc. Intermediate Presentation: Exploration of Quasimetric RLE202+http://talks.robot-learning.net
6.09.202414:45-15:15Fabian Damken, M.Sc. Thesis Defense: Quasimetric Heuristic LearningE202+http://talks.robot-learning.net
6.09.202414:00-14:45Berk Guler, Research Talk: Autonomy Infused TeleoperationE202+http://talks.robot-learning.net
30.08.202414:45-15:30Junning Huang, Research Talk: Friction Parameter Estimation via Adaptive ControlE202+http://talks.robot-learning.net
30.08.202414:15-14:45Jonas Günster, M.Sc. Thesis Defense: Handling Long-Term Constraints And Uncertainty in Safe Reinforcement LearningE202+http://talks.robot-learning.net
30.08.202414:00-14:20Moritz Meser, M.Sc. Intermediate Presentation: Model Predictive Control of HumanoidsE202+http://talks.robot-learning.net
23.08.202414:45-15:15Kilian Feess, B.Sc. Thesis Defense: Learning Advanced Manipulation Skillsonthe SE(3) Manifold with Stability GuaranteesE202+http://talks.robot-learning.net
16.08.202414:00-14:45Marek Kopicki, Invited Talk: Robotic manipulation with contact modelsE202+http://talks.robot-learning.net
2.08.202414:00-14:30Michael Drolet, Research Talk: Learning for LocomotionE202+http://talks.robot-learning.net
19.07.202414:45-15:45Cristiana Miranda de Farias (UBham), Invited Talk: Object Centric Grasping and Manipulation StrategiesE202+http://talks.robot-learning.net
19.07.202414:00-14:45Lorenzo Tozzi, M.Sc Intermediate PresentationE202+http://talks.robot-learning.net
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