Date | Time | Event | Location |
29.11.2024 | 14:30-15:00 | Patrick Siebke, M.Sc. Thesis Defense: Quasimetric Reinforcement Learning | E202+http://talks.robot-learning.net |
29.11.2024 | 14:00-14:30 | Moritz Meser, M.Sc. Thesis Defense: Model Predictive Control of Humanoids | E202+http://talks.robot-learning.net |
27.11.2024 | 15:20-17:00 | Paul Bays (Cambridge), Invited Talk: Neurocomputational basis of visual working memory | Building S1|15 Room 133 |
25.11.2024 | 15:30-17:00 | Yuke Zhu (UT Austin & NVIDIA), Invited talk: : Data Pyramid and Data Flywheel for Robotic Foundation Models | S101/A3 (Only in person) |
22.11.2024 | 15:15-15:45 | Benedikt Hahner, M.Sc. Thesis Defense: Posterior Sampling Reinforcement Learning with Function-space Variational Inference | E202+http://talks.robot-learning.net |
22.11.2024 | 14:45-15:15 | Qiao Sun, M.Sc. Thesis Defense: Grasp Diffusion Network | E202 |
22.11.2024 | 14:15-14:45 | An Thai Le, Research Talk: Global Tensor Motion Planning | E202+http://talks.robot-learning.net |
20.11.2024 | 15:20-17:00 | Anna Hughes (Essex), Invited Talk: TBA | Building S1|15 Room 133 |
15.11.2024 | 14:30-15:00 | Niklas Hellinger, M.Sc. Thesis Defense: Calibrating F/T Sensors | E202 |
15.11.2024 | 14:00-14:30 | Noah Farr, B.Sc. Thesis Defense: On Designing Reward Functions for Robotic Tasks | E202+http://talks.robot-learning.net |
13.11.2024 | 15:20-17:00 | Meike Ramon (Lausanne), Invited Talk: Natural and synthetic face recognition research - fundament and societal benefits | Building S1|15 Room 133 |
13.11.2024 | 13:45-15:00 | Rika Antonova (Cambridge), Invited Talk: The Ingredients for Efficient Robot Learning and Exploration | E202+http://talks.robot-learning.net |
6.11.2024 | 15:20-17:00 | Mate Lengyel (Cambridge), Invited Talk: Normative models of cortical dynamics | Building S1|15 Room 133 |
1.11.2024 | 15:30-16:00 | Denis 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 |
1.11.2024 | 14:00-14:30 | Noah Becker, E.P. Conclusion: Integrating and Evaluating Visuo-tactile Sensing with Haptic Feedback for Teleoperated Robot Manipulation | E202+http://talks.robot-learning.net |
30.10.2024 | 15:20-17:00 | Lynn Schmittwilken (TU Berlin), Invited Talk: Vast visual inhomogeneities across the foveola revealed by a new foveal perimetry method | Building S1|15 Room 133 |
25.10.2024 | 14:30-15:00 | Felix Nonnengießer, M.Sc. Intermediate Presentation: Visuotactile In-Hand Pose Estimation | E202+http://talks.robot-learning.net |
25.10.2024 | 14:00-14:30 | Yuheng Ouyan, M.Sc. Thesis Defense: Hierarchical Reinforcement Learning with Self-Play for Robotic Air Hockey | E202+http://talks.robot-learning.net |
23.10.2024 | 15:20-17:00 | Leonie Oostwoud Wijdenes (Radboud), Invited Talk: Variability in sensorimotor control | Building S1|15 Room 133 |
18.10.2024 | 15:00-15:30 | Faran Ahmad, B.Sc. Thesis Defense: Diminishing Return of Value Expansion Methods in Discrete Model-Based Reinforcement Learning | E202+http://talks.robot-learning.net |
18.10.2024 | 14:30-15:00 | Tristan Tisch, M.Sc. Thesis Defense: Dynamic Multi-Agent Reward Sharing | E202+http://talks.robot-learning.net |
18.10.2024 | 14:00-14:30 | Duc Huy Nguyen, B.Sc. Thesis Defense: Simulation of Vision-Based Tactile Sensors for Reinforcement Learning | E202+http://talks.robot-learning.net |
16.10.2024 | 15:30-16:30 | Cristian Guillermo Gebhardt (U. Bergen), Invited Talk: Formulation , Analysis and Solution of Optimization Subproblems in Data-Driven Computational Mechanics | Geb.: L5|06, Raum: 11 |
16.10.2024 | 15:20-17:00 | Thomas Wallis - Bayesian adaptive estimation of high-dimensional psychometric functions using particle filtering | TU Darmstadt |
11.10.2024 | 15:00-15:30 | Daniel Dennert, B.Sc. Thesis Defense: Diminishing Return of Value Expansion Methods in Offline Model-Based Reinforcement Learning | E202+http://talks.robot-learning.net |
11.10.2024 | 14:30-15:00 | Frederik Heller, B.Sc. Thesis Defense: Learning Object Stress and Deformation With Graph Neural Networks | E202+http://talks.robot-learning.net |
11.10.2024 | 14:00-14:30 | Jonas Ringsdorf, M.Sc. Thesis Defense: Diverse Value Oriented Populations for Zero-Shot Learning | E202+http://talks.robot-learning.net |
1.10.2024 | 11:00-11:45 | Changqi Chen, M.Sc. Thesis Defense: Learning Tactile Manipulation Policies from Human Demonstrations | E202 |
27.09.2024 | 14:00-14:20 | Max Siebenborn, M.Sc. Intermediate Presentation: Imitation Learning for Humanoid Motor Skills | E202+http://talks.robot-learning.net |
20.09.2024 | 15:00-15:15 | Haoran Ding, M.Sc. Thesis Defense: Safe Flow-Based Robot Motion Policies | E202+http://talks.robot-learning.net |
20.09.2024 | 14:45-15:00 | Tim Henze, M.Sc. Thesis Defense: Enhancng Multi-Modal Foundation Model Training via Image Captioning | E202+http://talks.robot-learning.net |
20.09.2024 | 14:00-14:45 | Davide Tateo, Research Talk: Safe and robust real-world robot learning | E202+http://talks.robot-learning.net |
19.09.2024 | 17:15-18:30 | Esteban Cosserat, M.Sc. Thesis Defense: Refining Vision-Based 6D Pose Estimation Using Tactile Sensing | https://ec-lyon-fr.zoom.us/j/91977781000 |
16.09.2024 | 15:00-15:45 | Tingzhong Fu, Research Talk: Intelligent robot systems powered by 6G native Al and multi-modal modal integrated sensing | B002, no Zoom |
12.09.2024 | 16:00-17:00 | Daniel Palenicek, Research Talk (at BeNeRL): Sample Efficiency in Deep RL: Quo Vadis? | https://www.benerl.org/seminar-series |
6.09.2024 | 15:15-15:40 | Patrick Siebke, M.Sc. Intermediate Presentation: Exploration of Quasimetric RL | E202+http://talks.robot-learning.net |
6.09.2024 | 14:45-15:15 | Fabian Damken, M.Sc. Thesis Defense: Quasimetric Heuristic Learning | E202+http://talks.robot-learning.net |
6.09.2024 | 14:00-14:45 | Berk Guler, Research Talk: Autonomy Infused Teleoperation | E202+http://talks.robot-learning.net |
30.08.2024 | 14:45-15:30 | Junning Huang, Research Talk: Friction Parameter Estimation via Adaptive Control | E202+http://talks.robot-learning.net |
30.08.2024 | 14:15-14:45 | Jonas Günster, M.Sc. Thesis Defense: Handling Long-Term Constraints And Uncertainty in Safe Reinforcement Learning | E202+http://talks.robot-learning.net |
30.08.2024 | 14:00-14:20 | Moritz Meser, M.Sc. Intermediate Presentation: Model Predictive Control of Humanoids | E202+http://talks.robot-learning.net |
23.08.2024 | 14:45-15:15 | Kilian Feess, B.Sc. Thesis Defense: Learning Advanced Manipulation Skillsonthe SE(3) Manifold with Stability Guarantees | E202+http://talks.robot-learning.net |
16.08.2024 | 14:00-14:45 | Marek Kopicki, Invited Talk: Robotic manipulation with contact models | E202+http://talks.robot-learning.net |
2.08.2024 | 14:00-14:30 | Michael Drolet, Research Talk: Learning for Locomotion | E202+http://talks.robot-learning.net |
19.07.2024 | 14:45-15:45 | Cristiana Miranda de Farias (UBham), Invited Talk: Object Centric Grasping and Manipulation Strategies | E202+http://talks.robot-learning.net |
19.07.2024 | 14:00-14:45 | Lorenzo Tozzi, M.Sc Intermediate Presentation | E202+http://talks.robot-learning.net |
12.07.2024 | 15:00-15:40 | Marcel Mittenbuehler, M.Sc. Thesis Defense: Parameter-Efficient Adaptation of Multimodal Multitask Diffusion Policies | E202+http://talks.robot-learning.net |
12.07.2024 | 14:20-14:40 | Jonathan Kinzel, M.Sc. Intermediate Presentation: On-robot Deep Reinforcement Learning for Quadruped Locomotion | E202+http://talks.robot-learning.net |
12.07.2024 | 14:00-14:20 | Qiao Sun, M.Sc. Intermediate Presentation: Grasp Diffusion Network | E202+http://talks.robot-learning.net |
28.06.2024 | 14:00-14:30 | Tristan Tisch, M.Sc. Intermediate Presentation: Dynamic Multi-Agent Reward Sharing | E202+http://talks.robot-learning.net |
21.06.2024 | 15:00-16:00 | Yichen Cai, Invited Talk: Visual Imitation Learning of Task-Oriented Object Grasping and Rearrangement | E202+http://talks.robot-learning.net |
21.06.2024 | 14:00-15:00 | Nico Bohlinger, Research Talk: Learning Multi-Embodiment Locomotion | E202+http://talks.robot-learning.net |
20.06.2024 | 14:00-15:00 | Rodrigo Perez Dattari (TU Delft), Invited Talk: Generalizable Robotic Imitation Learning: Interactive Learning and Inductive Bias | E202+http://talks.robot-learning.net |
14.06.2024 | 15:30-16:00 | Arsenii Mustafin (Boston University), Invited Talk: Geometry and Normalization of an MDP | E202+http://talks.robot-learning.net |
14.06.2024 | 15:15-15:30 | Martin Steinborn, M.Sc. Intermediate Presentation: Multi-Person Pose Tracking Using Dynamically Gated Similarities | E202+http://talks.robot-learning.net |
14.06.2024 | 15:00-15:15 | Haoran Ding, M.Sc. Intermediate Presentation: Safe Flow-based Robot Motion Policies | E202+http://talks.robot-learning.net |
14.06.2024 | 14:00-15:00 | Matteo Luperto (UniMI), Invited Talk: Towards long-term autonomy for indoor mobile robots | E202+http://talks.robot-learning.net |
11.06.2024 | 14:00-14:15 | Dennis Schlee, M.Sc. Thesis Defense: Control Strategies for a Rimless Wheel Micro-Rover | E202+http://talks.robot-learning.net |
7.06.2024 | 15:15-15:45 | Changqi Chen, M.Sc. Intermediate Presentation: Learning Tactile Manipulation Policies from Human Demonstrations | http://talks.robot-learning.net |
7.06.2024 | 14:45-15:15 | Yasemin Göksu, M.Sc. Intermediate Presentation: Robotic Pouring with Self-supervised Learning from Video Demonstration | E202+http://talks.robot-learning.net |
7.06.2024 | 14:00-14:45 | Yashom Dighe (University at Buffalo), Invited Talk: MPC for Real-World Racing and Beyond | E202+http://talks.robot-learning.net |
31.05.2024 | 14:45-15:15 | Marc Saghir, B.Sc. Thesis Defense: Ensemble Methods for Visual Anomaly Detection in Manufacturing Settings | E202+http://talks.robot-learning.net |
31.05.2024 | 14:00-14:45 | David Rother, Research Talk: Implicitly Cooperative Agents in Open Systems | E202+http://talks.robot-learning.net |
29.05.2024 | 15:00-15:30 | Caio Freitas, M.Sc. Thesis Defense: Graph Diffusion for Imitation Learning in Robotics | E202+http://talks.robot-learning.net |
24.05.2024 | 15:00-15:30 | Zeyuan Sun, Research Talk: A sample trajectory from my future life distribution (internal only) | E202+http://talks.robot-learning.net |
24.05.2024 | 14:30-15:00 | Julian Rau, M.Sc. Thesis Defense: Diffusing Assemblies - Leveraging Diffusion Models for 3D Robotic Assembly | http://talks.robot-learning.net |
24.05.2024 | 14:00-14:20 | Dominik Horstkötter, B.Sc. Thesis Defense: InsertionNet for Autonomous Assembly of Interlocking Blocks | E202+http://talks.robot-learning.net |
10.05.2024 | 14:00-15:00 | Fabian Damken, M.Sc. Thesis Intermediate Presentation: Learning Admissible and Monotone Heuristics for A* | E202+http://talks.robot-learning.net |
3.05.2024 | 14:00-15:00 | Tim Franzmeyer (Oxford University), Invited Talk: Extracting Reward Functions from Diffusion Models | E202+http://talks.robot-learning.net |
2.05.2024 | 14:00-15:00 | Zhang-Wei Hong (MIT), Invited Talk: Reconciling Heuristic with Reinforcement Learning: Algorithms and Applications | E202+http://talks.robot-learning.net |
29.04.2024 | 16:00-17:00 | Karl Worthmann (TU Illmenau), Invited Talk: Data-Driven Controller Design for Nonlinear Systems Using EDMD in the Koopman Framework | S3|10 406A |
19.04.2024 | 15:00-15:30 | Phani Teja Singamaneni (LAAS-CNRS), Invited Talk: Robot Navigation in Human Spaces - Planning, Learning and Control | E202+http://talks.robot-learning.net |
19.04.2024 | 14:30-15:00 | Jiacheng Qiu, Research Talk: Vision-based 3D Trajectory Prediction for Agile Aerial Vehicles | E202+http://talks.robot-learning.net |
19.04.2024 | 14:00-14:30 | Henri Geiss, M.Sc. Thesis Defense: Inverse Reinforcement Learning for Musculoskeletal Control of Humanoid Locomotion | E202+http://talks.robot-learning.net |
17.04.2024 | 15:20-16:20 | Tomaso Poggio (MIT), Invited Talk: The Computable Mathematics of Intelligence | Department of Human Sciences, S1/15, Alexanderstr. 10, Room 133 , 64283 Darmstadt |
12.04.2024 | 14:00-14:45 | Theo Vincent, Research Talk: Rethinking Approximate Value Iteration algorithms | E202+http://talks.robot-learning.net |
10.04.2024 | 14:00-15:00 | Genki Miyauchi (U. Sheffield), Invited Talk: Multi-Operator Control of Connectivity-Preserving Robot Swarms | Room 2.2.21 (EmergenCITY Besprechungsraum), S4|14 (Mornewegstraße 30-32) |
9.04.2024 | 15:00-15:30 | Yongjian Tang (Huawei), Invited Talk: Named Entity Recognition Using Foundation Large Language Models for Industrial Domains | A102 |
15.03.2024 | 14:00-14:30 | Andranik Aristakesyan, M.Sc. Thesis Defense: Analyzing Sparse Attention in Reinforcement Learning for Continuous Control: Alpha-EntMax and Attention Masking for Morphology-Aware Decision Making | E202+http://talks.robot-learning.net |
8.03.2024 | 14:30-14:45 | Jonas Ringsdorf, M.Sc. Intermediate Presentation: Diverse Value Oriented Populations for Multi-Agent Training | E202+http://talks.robot-learning.net |
8.03.2024 | 14:00-14:30 | Fabian Wahren, M.Sc. Thesis Defense: Adapt your network: Investigating neural network’s architecture in Q-learning methods. | E202+http://talks.robot-learning.net |
1.03.2024 | 14:00-14:45 | Lisa Scherf, Research Talk: Learning from Human Teachers | E202+http://talks.robot-learning.net |
23.02.2024 | 15:00-15:45 | Yufeng Jin (PEARL), Research Talk: Perception Enhancement for Teleoperation | E202+http://talks.robot-learning.net |
23.02.2024 | 14:30-15:00 | Tobias Niehues, M.Sc. Thesis Defense: Approximate Bayesian Inference of Parametric Cost Functions in Inverse Decision Making | E202+http://talks.robot-learning.net |
23.02.2024 | 14:00-14:30 | Alap Kshirsagar, Research Talk: Learning Human-Robot Interaction and Tactile Perception | E202+http://talks.robot-learning.net |
16.02.2024 | 14:45-15:00 | Julian Rau, M.Sc. Intermediate Presentation: Diffusing Assemblies - Leveraging Diffusion Models for 3D Robotic Assembly | http://talks.robot-learning.net |
16.02.2024 | 14:00-14:45 | Sahel Iqbal (Aalto University), Invited Talk: Policy Optimization with Markovian Score Climbing | http://talks.robot-learning.net |
2.02.2024 | 13:30-14:30 | Roderich Gross (TUDa), Invited Talk: Advances and challenges in massively distributed robotics | E202+http://talks.robot-learning.net |
24.01.2024 | 16:15-17:15 | Holger Froening (Heidelberg University), Invited Talk: On Accelerating Deep and Bayesian Neural Architectures | S220/9 (Cysec Building), and http://tinyurl.com/58fc6b5a |
19.01.2024 | 15:30-16:00 | Xiaolin Lin, M.Sc. Thesis Defense: Efficient Query-based Instance Segmentation via Sampling-based Approach | E202+http://talks.robot-learning.net |
19.01.2024 | 15:00-15:30 | Han Gao, M.Sc. Thesis Defense: AffordanceParts: Learning Explainable Object Parts with Invertible Neural Networks | E202+http://talks.robot-learning.net |
19.01.2024 | 14:00-15:00 | Moritz Grosse-Wentrup (Uni Wien), Invited Talk: Neuro-Cognitive Multilevel Causal Modeling - A Framework that Bridges the Explanatory Gap between Neuronal Activity and Cognition | S202/C110 + http://talks.robot-learning.net |
9.01.2024 | 17:30-18:30 | Wil Thomason (RICE), Invited Talk: Motions in Microseconds via Vectorized Sampling-Based Planning | http://talks.robot-learning.net |
5.01.2024 | 14:15-14:30 | Sebastian Müller, M.Sc. Thesis Defense: Visual illusions in sensorimotor control – a reinforcement learning study | E202+http://talks.robot-learning.net |
5.01.2024 | 14:00-14:15 | Fabian Wahren, M.Sc. Intermediate Presentation: Adapt your network : Investigating neural network’s architecture in Q-learning methods. | E202+http://talks.robot-learning.net |
22.12.2023 | 14:00-14:30 | Peter Nickl (Riken), Invited Talk: The Memory Perturbation Equation: Understanding Model’s Sensitivity to Data (NeurIPS 2023) | E202+http://talks.robot-learning.net |
20.12.2023 | 15:30-16:00 | Philipp Seitz, M.Sc. Thesis Defense: Uncertainty Quantification for Vibration Time Series Forecasting | A213 |
20.12.2023 | 14:00-14:30 | Christian Hammacher, M.Sc. Thesis Defense: Object Pose Estimation and Manipulation from Pointclouds using Energy-based Models | E202+http://talks.robot-learning.net |
19.12.2023 | 16:00-17:00 | Tommaso Lenzi (Utah), Invited Talk: Moving Robotic Legs from the Lab to the Real World | Room 29, S1|15, Alexanderstr. 10 |
18.12.2023 | 16:00-18:30 | Julen Urain, Ph.D. Thesis Defense: Deep Generative Models for Motion Planning and Control | A102 |
18.12.2023 | 14:00-15:00 | Katerina 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 |
15.12.2023 | 14:00-14:30 | Fabian Hahne, B.Sc. Thesis Defense: Hierarchical Hidden Markov Models for Interaction Segmentation and Learning | E202+http://talks.robot-learning.net |
1.12.2023 | 16:00-18:00 | Vignesh Prasad, Ph.D. Thesis Defense: Learning Human-Robot Interaction: A Case Study on Human-Robot Handshaking | E202+http://talks.robot-learning.net |
24.11.2023 | 14:00-14:30 | Niklas Kappes, M.Sc. Thesis Defense: Natural Gradient Optimistic Actor Critic | E202+http://talks.robot-learning.net |
10.11.2023 | 14:00-15:00 | Vignesh Prasad, Research Talk: Learning Human-Robot Interaction: A Case Study on Human-Robot Handshaking | E202+http://talks.robot-learning.net |
7.11.2023 | 15:00-18:00 | Pascal Klink, Ph.D. Thesis Defense: Reinforcement Learning Curricula as Paths between Task Distributions | pascal-klink-defense.robot-learning.net |
6.11.2023 | 14:00-15:00 | Koh Hosoda (Kyoto Univ), Invited Talk: Adaptive Locomotion of Robots and Humans | Alexander str. 10, room 29 |
3.11.2023 | 14:30-15:00 | Mahdi Kallel, Research Talk: Augmented Bayesian Policy Search | S2|02 E202 or http://talks.robot-learning.net |
3.11.2023 | 14:00-14:25 | Simon Eisenmann (TUM), Invited Talk: Quantum Machine Learning | E202+http://talks.robot-learning.net |
3.11.2023 | 13:00-13:30 | Simone Schaub-Meyer, Research Talk: Efficient and Understandable Neural Networks for Visual Perception | B002 and https://tu-darmstadt.zoom-x.de/j/69744027576?pwd=WkE1TEp SdlY5Z001RWVTbEcxYWlnZz09 |
27.10.2023 | 15:45-16:15 | Hannes Mittwollen, B.Sc. Thesis Defense: Detection and 6D-pose estimation of objects with sparse training data | E202+http://talks.robot-learning.net |
27.10.2023 | 15:00-15:45 | Antoine Grosnit, Research Talk: Bayesian optimization and morphology-based policy training: when good priors lead to sample efficiency. | E202+http://talks.robot-learning.net |
27.10.2023 | 14:00-15:00 | Guillaume Duret, Research Talk: Large-Scale Dataset and Benchmark Generation for Robotics | E202+http://talks.robot-learning.net |
23.10.2023 | 16:00-19:00 | Andreas Look, Ph.D. Thesis Defense: Deterministic Approximations for Deep State-Space Models | E202+http://talks.robot-learning.net |
20.10.2023 | 14:00-15:00 | Saumya Saxena (CMU), Invited Talk: Learning generalizable robot skills for reactive control of dynamic and interactive tasks | E202 and http://talks.robot-learning.net |
19.10.2023 | 14:00-14:30 | Lucas Schulze, Applicant Talk: Model predictive control application for mobile robotics | E202+http://talks.robot-learning.net |
19.10.2023 | 13:30-14:00 | Maximilian Langer, M.Sc. Thesis Defense: Energy-based Models for 6 D Object Pose Estimation | E202+http://talks.robot-learning.net |
18.10.2023 | 17:00-20:00 | Hamish Flynn, Ph.D. Thesis Defense: PAC-Bayes Bounds for Bandits: Algorithms and Guarantees | S1|03 Hochschulstr. 1 Room 07 and http://talks.robot-learning.net |
18.10.2023 | 15:20-17:00 | CCSC - Eli Brenner | https://tu-darmstadt.zoom.us/j/82363067583?pwd=c3A4OERoenRvNGorRHEyRmtSenRjdz09 |
13.10.2023 | 14:45-15:15 | Johannes Heeg, M.Sc. Thesis Defense: Task Space Exploration in Robot Reinforcement Learning | E202+http://talks.robot-learning.net |
13.10.2023 | 14:00-14:45 | Firas Al-Hafez, Research Talk: Challenges and Frontiers in Learning Natural Locomotion | E202+http://talks.robot-learning.net |
6.10.2023 | 15:15-15:30 | IP final presentation: Autonomous Basil Harvesting | E202+http://talks.robot-learning.net |
6.10.2023 | 15:00-15:15 | IP final presentation: Latent Tactile Representations for Model Based RL | E202+http://talks.robot-learning.net |
6.10.2023 | 14:00-15:00 | Pascal Klink, Research Talk: Reinforcement Learning Curricula as Interpolations between Task Distributions | E202 |
29.09.2023 | 14:30-15:00 | Ruiyong Pi, M. Sc. Thesis Defence: Bluetooth Low Energy Localization for the Social Robot Zenbo | E202+http://talks.robot-learning.net |
29.09.2023 | 14:00-14:30 | Alper Gece, M.Sc. Thesis Defense: Leveraging Structured-Graph Correspondence in Imitation Learning | S2|02 E202 or http://talks.robot-learning.net |
8.09.2023 | 14:00-14:15 | Christian Hammacher, M.Sc. Intermediate Presentation: Object Pose Estimation and Manipulation from Pointclouds using Energy-based Models | E202+http://talks.robot-learning.net |
25.08.2023 | 15:15-15:30 | Ruiyong Pi, M.Sc. Intermediate Presentation: Bluetooth Low Energy Localisation for the Social Robot Zenbo | E202+http://talks.robot-learning.net |
25.08.2023 | 14:45-15:15 | Rolf Gattung, B.Sc. Thesis Defense: Active Neural Understanding of a Scene for Robotics | E202 and http://talks.robot-learning.net |
25.08.2023 | 14:00-14:45 | Niklas Funk, Research Talk: Tactile Feedback in Closed-Loop Control | E202+http://talks.robot-learning.net |
24.08.2023 | 14:00-15:00 | Krzysztof Walas (PUT), Invited Talk: Learning Terrain Representation for Legged Robot Localization | E202 |
24.08.2023 | 13:30-14:00 | Piotr Kicki (PUT), Invited Talk: Machine learning-based models of deformable linear objects for robotic manipulation | E202 |
4.08.2023 | 14:45-15:00 | Sebastian Müller, M.Sc. Intermediate Presentation: Visual illusions in sensorimotor control – a reinforcement learning study | E202+http://talks.robot-learning.net |
4.08.2023 | 14:00-14:45 | Boris Belousov, Research Talk: Divergence, Inference, Exploration | E202+http://talks.robot-learning.net |
28.07.2023 | 14:30-15:00 | Fabio Hilt, M.Sc. Thesis Defence: Statistical Model-based Reinforcement Learning | E202+http://talks.robot-learning.net |
28.07.2023 | 14:00-14:30 | Mario Gomez, B.Sc. Thesis Defense: Towards Dynamic Robot Juggling: Adaptive Planning for Sideswap Patterns | E202+http://talks.robot-learning.net |
21.07.2023 | 14:00-14:45 | Snehal Jauhri, Research Talk: Coupling Perception, Mobility & Manipulation: A challenge & opportunity for Robot Learning | E202+http://talks.robot-learning.net |
20.07.2023 | 15:00-16:00 | Sriraam Natarajan (UT Dallas), Invited Talk: Neurosymbolic learning via Integration of (Relational) Planning and (Deep) RL | Mornewegstraße 30 and https://tu-darmstadt.zoom.us/j/66971646334?pwd=WHNTK0U2bitDZmc3WFFCdm01SjhPQT09 |
19.07.2023 | 11:00-12:30 | Kenji Doya (OIST), Invited Talk: Neural Circuits for Reinforcement Learning and Mental Simulation | Building S1|15 Room 133 |
14.07.2023 | 14:00-14:30 | Maximilian Langer, M.Sc. Intermediate Presentation: Energy-based Models for 6D Pose Estimation | E202+http://talks.robot-learning.net |
13.07.2023 | 17:00-18:00 | Michael Wibral (Uni Goettingen), Invited Talk: Information theory for the age of neural networks | Schnittspahnstr. 3 (Campus Botanischer Garten) B1/01 Bio/Systems Neurophysiology |
7.07.2023 | 14:30-15:15 | Junning Huang, Research Talk: Robust Feedback Linearization for Tracking Control of Robot Manipulators | E202+http://talks.robot-learning.net |
7.07.2023 | 14:00-14:30 | Jihao Andreas Lin (University of Cambridge), Invited Talk: Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent | E202 |
6.07.2023 | 10:00-11:00 | Wil Schilders (TU Eindhoven), Invited Talk: Mathematics - key enabling technology for scientific machine learning | S217/103 (Schlossgartenstr. 8) and https://tu-darmstadt.zoom.us/j/ 2619539856, Meeting-ID: 261 953 9856 |
30.06.2023 | 14:30-15:00 | Julen Urain, Research Talk: Robot Motion Generative Models | E202+http://talks.robot-learning.net |
30.06.2023 | 14:00-14:30 | Maximilian Tölle, Research Talk: A Survey of Language-based Task Representations for Robotic Control | E202+http://talks.robot-learning.net |
28.06.2023 | 16:00-17:00 | Katerina Fragkiadaki (CMU), Invited Talk: 3D and energy-based inductive biases for robot manipulation | http://talks.robot-learning.net |
23.06.2023 | 14:30-15:00 | An Le, Research Talk: On The Optimal Transport In Robot Motion Planning | E202+http://talks.robot-learning.net |
23.06.2023 | 14:00-14:30 | Theo Vincent, Research Talk: Rethinking Approximate Value Iteration algorithms | E202+http://talks.robot-learning.net |
21.06.2023 | 14:10-15:10 | Danny Driess (Google DeepMind, TU Berlin), Invited Talk: PaLM-E: An Embodied Multimodal Language Model | E202+http://talks.robot-learning.net |
19.06.2023 | 14:00-15:00 | Tan Chen (Michigan Tech), Invited Talk: Control, Robustness, and Contact-Based Mechanics in Biped Locomotion | E202+http://talks.robot-learning.net |
16.06.2023 | 15:00-15:30 | Rukang Xu, M.Sc. Thesis Defense: Improving Markerless HandTracking usingSoftware-Synchronized Visual-Inertial Odometry | E202+http://talks.robot-learning.net |
16.06.2023 | 14:00-15:00 | Pierre Schumacher (IMPRS-IS), Invited Talk: Reinforcement Learning with and for Musculoskeletal Systems | E202+http://talks.robot-learning.net |
15.06.2023 | 10:00-11:00 | Zhiyuan Gao, M.Sc. Thesis Defense: Hierarchical Contextualization of Movement Primitives | E202 |
14.06.2023 | 18:00-19:00 | Shuran Song (Columbia University), Invited Talk: Learning Meets Gravity: Robots that Embrace Dynamics from Pixels | Zoom through: http://talks.robot-learning.net/ |
12.06.2023 | 14:00-15:00 | Krishan Rana (QUT), Invited Talk: Scaling Robot Learning | C120 (limited capacity) and via Zoom http://talks.robot-learning.net/ |
9.06.2023 | 15:45-16:15 | Leon Keller, M.Sc. Thesis Defense: Context-Dependent Variable Impedance Controllers With Stability Guarantees | E202+http://talks.robot-learning.net |
9.06.2023 | 15:15-15:45 | Rickmer Krohn, M.Sc. Thesis Defense: Multisensory Reinforcement Learning for Contact-rich Robotic Manipulation | E202+http://talks.robot-learning.net |
9.06.2023 | 14:45-15:15 | Johannes Heeg, M.Sc. Intermediate Presentation: Maximum Entropy Task Space Exploration | E202+http://talks.robot-learning.net |
9.06.2023 | 14:00-14:45 | Aditya Bhatt, Research Talk: Fast and cheap bio-inspired Feedback Controllers | E202+http://talks.robot-learning.net |
2.06.2023 | 15:00-15:30 | Nico Bohlinger (Uni Frankfurt), Invited Talk: Reinforcement Learning in the RoboCup Simulation League and Intrinsic Goal-Conditioned Agents | E202+http://talks.robot-learning.net |
19.05.2023 | 14:00-15:00 | Joe Watson, Research Talk: Coherent Imitation Learning | E202 and talks.robot-learning.net |
16.05.2023 | 13:30-14:30 | Moritz Moeller (U. Cam), Invited Talk: Biological learning in a dynamic, uncertain world - adapting to changing levels of noise | B002 (In-Person Only) |
12.05.2023 | 14:00-14:30 | Pascal Herrmann, M.Sc. Thesis Defense: 6DCenterPose: Multi-object RGB-D 6D pose tracking with synthetic training data | E202+http://talks.robot-learning.net |
5.05.2023 | 14:30-14:45 | Zeyuan Sun, MSc Thesis Defense: Self Expanding Neural Networks for Reinforcement Learning | https://tu-darmstadt.zoom.us/j/2217001119?pwd=Q1l1QUpSYWE1eFY0UkVk QlJLd1hmQT09 |
28.04.2023 | 14:00-14:30 | Melanie Jehn, M.Sc. Thesis Defense: NAS with GFlowNets | E202+http://talks.robot-learning.net |
26.04.2023 | 16:00-17:00 | Gabriella Pizzuto (Liverpool University), Invited Talk: The Role of Intelligent Robotic Laboratory Assistants For Accelerating Material Discovery | S3|11 0012 and https://tu-darmstadt.zoom.us/j/65324628051?pwd=ZXQy Zk1EYkExa01BMlVMU2hPRjRUUT09 |
24.04.2023 | 15:00-16:00 | Nikhil Churamani (University of Cambridge), Invited Talk: Continual Learning for Affective Robotics | S1|03, Rm. 07 and https://tu-darmstadt.zoom.us/j/68178611738 |
24.04.2023 | 10:15-11:00 | Jack Collins (Oxford), Invited Talk: Robot Planning and Manipulation for Small-Batch Manufacturing | A102 and http://talks.robot-learning.net |
21.04.2023 | 14:00-14:30 | Niklas Kappes, M.Sc. Intermediate Presentation: Natural Gradient Optimistic Actor Critic | E202+http://talks.robot-learning.net |
14.04.2023 | 14:00-14:30 | Tim Althaus, B.Sc. Thesis Defense: Inverse Reinforcement Learning from Observation for Locomotion on the Unitree A1 Robot | E202+http://talks.robot-learning.net |
12.04.2023 | 10:30-11:30 | Haitham Bou-Ammar (UCL and Huawei), Invited Talk: Bayesian Optimisation - From Foundations to Applications in Industry | A102 and http://talks.robot-learning.net |
29.03.2023 | 18:00-19:00 | Markus Rohrbach (TUDa), Invited Talk: Reliable Multimodal Artificial Intelligence | https://zoom.us/j/99370670854?pwd=YWlCL2ZZNUIweUlpZ1BmN0F0NUwzQT09 with passcode TalkMarcus |
24.03.2023 | 14:30-15:00 | Zhiyuan Gao, M.Sc. Intermediate Presentation: Hierarchical Contextualization of Movement Primitives for Safe HRI | E202+http://talks.robot-learning.net |
24.03.2023 | 14:00-14:30 | Michael Drolet (ASU), Invited Talk: "Learning and Blending Robot Hugging Behaviors in Time and Space" | E202+http://talks.robot-learning.net |
17.03.2023 | 14:45-15:15 | Fabio Hilt, M.Sc. Intermediate Presentation: Statistical Model Based Reinforcement Learning | E202+http://talks.robot-learning.net |
17.03.2023 | 14:15-14:45 | Alina Böhm, B.Sc. Thesis Defense: Active Exploration For Tactile Fabric Classification | http://talks.robot-learning.net/ |
17.03.2023 | 14:00-14:15 | Florian Wolf, I.P. Conclusion: Pendulum Acrobatics | E202+http://talks.robot-learning.net |
3.03.2023 | 14:00-14:30 | Leon Keller, Research Talk: T.B.A. | E202+http://talks.robot-learning.net |
24.02.2023 | 15:00-16:00 | Davide Tateo, Research Talk: Robot Learning - Acting Under Safety Constraints | E202 |
24.02.2023 | 14:30-15:00 | Julien Brosseit, M.Sc. Thesis Defense: The Principle of Value Equivalence for Policy Gradient Search | E202+http://talks.robot-learning.net |
17.02.2023 | 15:00-15:45 | Gabriele Tiboni (PoliTo), Invited Talk: Adaptive Domain Randomization for Sim-to-Real Transfer | B002 S2|2 |
17.02.2023 | 14:00-15:00 | Prof. Frank Wood University of British Columbia Title: Fun with Foundation Models and Amortized Inference | Date & 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 |
14.02.2023 | 17:00-18:00 | CCPS Seminar: Jonathan Casas, Switched Adaptive Control for FES-Powered Rehabilitation Machines | S3|10 406A + Zoom: https://tu-darmstadt.zoom.us/j/65324628051?pwd= ZXQyZk1EYkExa01BMlVMU2hPRjRUUT09 |
8.02.2023 | 17:00-18:00 | Venkatraman Renganathan (Lund U), Invited Talk: Risk Allocation for Motion Planning Under Uncertainty | https://tu-darmstadt.zoom.us/j/64706978717?pwd=aFBsZGEzY3lzcHUrYmV QWkFmd3R4UT09 |
3.02.2023 | 15:00-15:30 | Bane Janjus, M.Sc. Thesis Defense: Genetic Programming For Interpretable Reinforcement Learning | E202+http://talks.robot-learning.net |
3.02.2023 | 14:30-15:00 | Chao Ni (ETHZ), Invited Talk: Towards Perceptive Lifelong Learning | E202+http://talks.robot-learning.net |
3.02.2023 | 14:00-14:30 | Ehsan Kouchaki Varnosfaderani (IUT), Invited Talk: Balance Control of Humanoid Robots | E202+http://talks.robot-learning.net |
27.01.2023 | 15:15-15:45 | Erik Prescher, B.Sc. Visual Hierarchical Recognition And Segmentation Of Interactions | E202+http://talks.robot-learning.net |
27.01.2023 | 14:30-15:15 | Ali Forootani (MPI), Invited Talk: Stochastic Dynamic Programming for Sequential Decision Making Problems | E202+http://talks.robot-learning.net |
27.01.2023 | 14:00-14:30 | Melih Özcan (METU), Invited Talk: Towards Learning Agile Locomotion and Manipulation | E202+http://talks.robot-learning.net |
23.01.2023 | 17:00-18:00 | Grace Li Zhang, Research Talk: Robustness Enhancement of Analog In -Memory Computing for Neural Networks | S3|10 406/406A and https://tu-darmstadt.zoom.us/j/64706978717?pwd=aFBsZGEzY3lzcHUrYmVQWkFmd3R4UT09 |
20.01.2023 | 14:30-15:00 | Berk Güler (KU), Invited Talk: Deep Reinforcement Learning to Optimize Task Performance in Physical Human-Robot Co-Manipulation | E202+http://talks.robot-learning.net |
20.01.2023 | 14:00-14:30 | Mark Baierl, M.Sc. Thesis Defense: Score-Based Generative Models as Trajectory Priors for Motion Planning | E202+http://talks.robot-learning.net |
13.01.2023 | 14:45-15:15 | Pascal Stenger, M.Sc. Thesis Defense: Advanced Monte-Carlo Tree Search for Planning | E202+http://talks.robot-learning.net |
13.01.2023 | 14:30-14:45 | Melanie Jehn, M.Sc. Intermediate Presentation: NAS with GFlowNets | E202+http://talks.robot-learning.net |
13.01.2023 | 14:00-14:30 | Jascha Hellwig, M.Sc. Thesis Defense: Reinforcement Learning in Stable Vector Fields | E202+http://talks.robot-learning.net |
21.12.2022 | 11:00-11:30 | Paul-Otto Müller, M.Sc. Thesis Defense: Learning Interpretable Representations for Visuotactile Sensors | http://talks.robot-learning.net/ |
16.12.2022 | 14:00-14:30 | Sebastian Szelag, M.Sc. Thesis Defense: Multi-Agent Reinforcement Learning for Assembly | E202+http://talks.robot-learning.net |
13.12.2022 | 13:00-15:30 | Alexander Cowen-Rivers, Ph.D. Thesis Defense: Pushing The Limits of Sample-Efficient Optimisation | E202+http://talks.robot-learning.net |
9.12.2022 | 16:00-16:30 | Ruidi He, M.Sc. Thesis Defense: Path Consistency Learning for Autonomous Car Driving | E202+http://talks.robot-learning.net |
9.12.2022 | 15:00-16:00 | Hosein Hasanbeig (Oxford), Invited Talk: Safe and Certified Reinforcement Learning with Logical Constraints | E202+http://talks.robot-learning.net |
9.12.2022 | 14:30-15:00 | Xiangyu Xu, M.Sc. Thesis Defense: Visuotactile Grasping From Human Demonstrations | E202+http://talks.robot-learning.net |
9.12.2022 | 14:00-14:30 | Jonathan Kinzel, B.Sc. Thesis Defense: Modelling and Control of a Spherical Pendulum on a 4-DOF Barret WAM | E202+http://talks.robot-learning.net |
2.12.2022 | 14:30-15:00 | Samuel Lokadjaja, B.Sc. Thesis Defense: Hierarchical Exploration for Variational Inference | E202+http://talks.robot-learning.net |
2.12.2022 | 14:00-14:30 | Maximilian Niessing, M.Sc. Thesis Defense: Attention-based objects pose detection in cluttered scenes | E202+http://talks.robot-learning.net |
28.11.2022 | 13:00-14:00 | Radhe Shyam (IIT Mandi), Invited Talk: Smart Control Strategies for Autonomous Navigation of Mobile Robots | B002 and http://talks.robot-learning.net |
18.11.2022 | 14:45-15:15 | Mohammad Atashak, B.Sc. Thesis Defense: Will it blend? Learning to Coexecute Subskills | E202+http://talks.robot-learning.net |
18.11.2022 | 14:00-14:45 | Andreas Look, Research Talk: Deep Bayesian State Space Models | B002 and http://talks.robot-learning.net |
11.11.2022 | 14:00-14:30 | Théo Vincent, M.Sc. Thesis Defense: Paramaterized projected Bellman operator | E202+http://talks.robot-learning.net |
4.11.2022 | 14:00-15:00 | Siwei Ju, Research Talk: Imitating and outperforming professional race drivers | E202 and http://talks.robot-learning.net |
2.11.2022 | 18:00-19:00 | Zoom meeting invitation - Zoom Meeting von Christof-Matthias Neubrand | https://tu-darmstadt.zoom.us/j/66971646334?pwd=WHNTK0U2bitDZmc3WFF Cdm01SjhPQT09 |
2.11.2022 | 18:00-19:00 | Sriraam Natarajan (UT Dallas), Invited Talk: Human-allied sequential decision-making | Mornewegstraße 30 and https://tu-darmstadt.zoom.us/j/66971646334?pwd=WHNTK0U2bitDZmc3WFFCdm01SjhPQT09 |
28.10.2022 | 14:45-15:10 | Louis Sterker, B.Sc. Thesis Defense: Social Interaction Segmentation and Learning using Hidden semi-Markov Models | E202+http://talks.robot-learning.net |
28.10.2022 | 14:00-14:45 | Yunlong Song (UZH and ETHZ), Invited Talk: Reinforcement Learning for Agile Drone Flight | B002 and http://talks.robot-learning.net |
21.10.2022 | 15:00-15:20 | Daniel Musekamp, M.Sc. Thesis Defense: Amortized Variational Inference using GMMs for Inverse Kinematics | E202+http://talks.robot-learning.net |
21.10.2022 | 14:00-15:00 | Dieter Buechler (MPIIS), Invited Talk: New developments at Learning Muscular Robots | B002 and talks.robot-learning.net |
19.10.2022 | 13:00-14:00 | 3AI Lecture "Who I am" by Carlo D'Eramo: Multi-Task and Curriculum Reinforcement Learning | E202+http://talks.robot-learning.net |
17.10.2022 | 12:00-13:00 | Paul Jansonnie, Research Talk: Skill Discovery through Task Generation for Robotic Manipulation | E202 |
14.10.2022 | 15:05-15:20 | Xiangyu Xu, M.Sc. Intermediate Presentation: Visuotactile Grasping From Human Demonstrations | E202+http://talks.robot-learning.net |
14.10.2022 | 14:45-15:15 | Shanding Gu, Research Talk: Safe Reinforcement Learning for Multi- Robot Control | E202+http://talks.robot-learning.net |
14.10.2022 | 14:20-14:40 | Pascal Stenger, M.Sc. Intermediate Presentation: Advanced Monte-Carlo Tree Search for Planning | E202+http://talks.robot-learning.net |
14.10.2022 | 14:00-14:20 | Pascal Herrmann, M.Sc. Intermediate Presentation: 6D Pose Estimation and Tracking for Ubongo 3D | E202+http://talks.robot-learning.net |
13.10.2022 | 11:00-12:00 | Takayuki Osa (University of Tokyo), Invited Talk: Objective function with multiple extrema in robot learning | B002 and http://talks.robot-learning.net |
7.10.2022 | 15:00-15:30 | Daljeet Nandha, M.Sc. Thesis Defense: Leveraging Large Language Models For Autonomous Task Planning | E202+http://talks.robot-learning.net |
7.10.2022 | 14:30-15:00 | Georgia Chalvatzaki, Research Talk: Shaping Robotic Assistance through Structured Robot Learning | S202|E202 |
7.10.2022 | 14:15-14:30 | Paul-Otto Müller, M.Sc. Intermediate Presentation: Learning Interpretable Representations for Visuotactile Sensors | E202+http://talks.robot-learning.net |
7.10.2022 | 14:00-14:15 | Mark Baierl, M.Sc. Intermediate Presentation: Score-Based Imitation Learning | E202+http://talks.robot-learning.net |
30.09.2022 | 14:30-15:30 | Paul Jansonnie, Research Talk: Skill Discovery through Task Generation for Robotic Manipulation | E202+http://talks.robot-learning.net |
30.09.2022 | 14:00-14:20 | Jascha Hellwig, M.Sc. Intermediate Presentation: Reinforcement Learning in Stable Vector Fields | E202+http://talks.robot-learning.net |
26.09.2022 | 15:00-17:00 | Philip Becker-Ehmck, Ph.D. Thesis Defense: Latent State-Space Models for Control | http://phd-defenses.robot-learning.net |
23.09.2022 | 13:30-15:00 | Masashi Sugiyama (RIKEN), Invited Talk: Recent advances in robust machine learning | S208/171 Uhrenturmhörsaal |
22.09.2022 | 17:30-19:30 | Tuan Dam, Ph.D. Thesis Defense: Sample Efficient Monte Carlo Tree Search for Robotics | http://phd-defenses.robot-learning.net |
1.09.2022 | 11:00-12:00 | Hermann Blum (ETH Zurich), Invited Talk: Self-improving robotic scene understanding | S02 | 02 E202 or https://tu-darmstadt.zoom.us/j/69848175636?pwd=N0ozWSs5MEVNblRWT0krbm9FZmtHZz09 |
26.08.2022 | 14:15-14:35 | Julien Brosseit, M.Sc. Intermediate Presentation: Policy Optimization with Learning and Planning | E202+http://talks.robot-learning.net |
26.08.2022 | 14:00-14:15 | Sebastian Szelag, M.Sc. Intermediate Presentation: Multi-Agent Reinforcement Learning for Assembly | E202+http://talks.robot-learning.net |
12.08.2022 | 14:15-14:30 | Benedikt Hahner, M.Sc. Intermediate Presentation: Sim2GP: Bayesian Dynamics Models via Differentiable Physics | E202+http://talks.robot-learning.net |
12.08.2022 | 14:00-14:20 | Théo Vincent, M.Sc. Intermediate Presentation: Projected Bellman Operator | E202+http://talks.robot-learning.net |
10.08.2022 | 14:00-15:00 | Felix Petersen Talk | Mornewegstraße 28, 64293 Darmstadt, hessian.AI, Room 3.1.01 |
5.08.2022 | 14:00-14:30 | Daljeet Nandha, M.Sc. Intermediate Presentation: Leveraging Large Language Models For Autonomous Task Planning | E202+http://talks.robot-learning.net |
29.07.2022 | 15:00-15:45 | Joe Watson, Research Talk: Monte Carlo Posterior Policy Iteration with Gaussian Processes | E202+http://talks.robot-learning.net |
29.07.2022 | 14:20-14:50 | Wenhua Bao, M.Sc. Thesis Defense: Learning a Decision Module in Frenet Space by Imitating Control Commands | E202+http://talks.robot-learning.net |
29.07.2022 | 14:00-14:20 | Ruidi He, M.Sc. Intermediate Presentation: Path Consistency Learning for Autonomous Car Driving | E202+http://talks.robot-learning.net |
27.07.2022 | 13:00-14:00 | 3AI Lecture Series "Who I am" _ Invitation to Jannis Brugger's talk | https://tu-darmstadt.zoom.us/j/66804616163?pwd=YW15YmJOMENTd3hOdmQ 4azVGdHRzQT09 |
22.07.2022 | 14:45-15:15 | Kuo Zhang, M.Sc. Thesis Defense: Learning Geometric Constraints for Safe Robot Interaction | E202+http://talks.robot-learning.net |
22.07.2022 | 14:00-14:45 | Niklas Funk, Research Talk: Robot Assembly Discovery | E202+http://talks.robot-learning.net |
18.07.2022 | 17:00-19:00 | Boris Belousov, Ph.D. Thesis Defense: On Optimal Behavior under Uncertainty in Humans and Robots | http://tiny.cc/rarruz |
15.07.2022 | 14:20-14:50 | Oliver Järnefelt, M.Sc. Intermediate Presentation: Sparsely Collaborative Multi-Agent Reinforcement Learning | E202+http://talks.robot-learning.net |
15.07.2022 | 14:00-14:20 | Darya Nikitina, B.Sc. Thesis Defense: Inference Methods for Markov Decision Processes | E202+http://talks.robot-learning.net |
13.07.2022 | 13:00-14:00 | 3AI Lecture Series "Who I am" _ Invitation to the first Lecture "RL , Transformers in RL" | https://tu-darmstadt.zoom.us/j/69077364328?pwd=OVl6UFF4UVpvL0hucnp MUzJvTExJQT09 |
8.07.2022 | 14:00-14:30 | Maximilian Tölle, M.Sc. Thesis Defense: Curriculum Adversarial Reinforcement Learning | E202+http://talks.robot-learning.net |
7.07.2022 | 17:00-18:00 | Pete Florence (Google Research), Invited Talk: Robotics at Google | E202+http://talks.robot-learning.net |
6.07.2022 | 13:30-15:10 | Johannes Betz (U.Penn), Invited Talk: Autonomous Vehicles on the Edge - Learning to drive fast and accurate at the vehicle dynamics limits | Uhrturmhörsaal S2|08/171 |
1.07.2022 | 14:30-15:00 | Piotr Kicki (Poznan University of Technology), Invited Talk: Learning for Motion Planning | S02|02 E202 |
1.07.2022 | 14:00-14:30 | Vilja Lott, B.Sc. Thesis Defense: Detecting an Intention for Interaction in a Human-Robot Environment | E202+http://talks.robot-learning.net |
28.06.2022 | 8:30-9:00 | Nathalie Woortman, B.Sc. Thesis Defense: Comparing and Personalizing Human Following Behaviors for Mobile Ground Robots | E202+http://talks.robot-learning.net |
23.06.2022 | 14:00-15:00 | Andreas Look, Research Talk: Cheap and Accurate Traffic Forecasting with Neural SDEs | E202+http://talks.robot-learning.net |
22.06.2022 | 16:00-17:00 | Hamish Flynn, Research Talk: An experimental comparison of PAC-Bayes bounds for contextual bandits | E202+http://talks.robot-learning.net |
17.06.2022 | 14:00-14:30 | Simon Kiefhaber, M.Sc. Thesis Defense: Leveraging Energy-Based Models for Multi-Object 6D Pose Estimation | E202+http://talks.robot-learning.net |
3.06.2022 | 14:30-15:00 | Amos Newswanger, M.Sc. Thesis Defense: Indoor Visual Navigation on Micro-Aerial Drones without External Infrastructure | E202+http://talks.robot-learning.net |
3.06.2022 | 14:00-14:30 | Simon Kohaut, Honor's Thesis Defense: Efficient Density Estimation for the Correlated Dirichlet Distribution | E202+http://talks.robot-learning.net |
30.05.2022 | 14:00-15:00 | C. Shawn Green (U. Wisconsin Madison), Invited Talk: Every task is a learning task (and should be treated as such) | Raum S306/146 |
27.05.2022 | 11:40-13:30 | Save the date: May 27, 2022 - Talk by Turing Award Winner Jack Dongarra | Maschinenhaus S1|05 Room 122, Magdalenenstr. 12, 64289 Darmstadt |
27.05.2022 | 11:40-13:40 | Jack Dongarra (University of Tennessee), Invited Talk: A Not So Simple Matter of Software | Maschinenhaus S1|05 Room 122, Magdalenenstr. 12, 64289 Darmstadt |
20.05.2022 | 15:00-15:15 | Fabian Damken, Honor Thesis Defense: Random Fourier Series Features | E202+http://talks.robot-learning.net |
20.05.2022 | 14:30-15:00 | Jan Schneider, M.Sc. Thesis Defense: Model Predictive Policy Optimization amidst Inaccurate Models | E202+http://talks.robot-learning.net |
20.05.2022 | 14:00-14:30 | Felix Kaiser, M.Sc. Thesis Defense: Multi-Object Pose Estimation for Robotic Applications in Cluttered Scenes | E202+http://talks.robot-learning.net |
16.05.2022 | 17:00-18:00 | Thomas Beckers (University of Pennsylvania), Invited Talk: Safe Learning-based Control for Mechanical Systems | S3|10 406/406A / https://tu-darmstadt.zoom.us/j/69949062481 |
13.05.2022 | 14:00-14:30 | Daniel Musekamp, M.Sc. Intermediate Presentation: Amortized VIPS | E202+http://talks.robot-learning.net |
6.05.2022 | 14:00-15:00 | Guillaume Duret, Research Talk: Generating a Synthetic Dataset for Fruits | E202+http://talks.robot-learning.net |
29.04.2022 | 14:30-15:00 | Simon Kohaut, M.Sc. Thesis Defense: Hybrid Probabilistic Logic Programming for Mission Design in Multimodal Mobility | E202+http://talks.robot-learning.net |
29.04.2022 | 14:00-14:30 | Filip Bjelonic, M.Sc. Thesis Defense: Learning-based design and control for soft quadrupedal robots | E202+http://talks.robot-learning.net |
22.04.2022 | 15:30-16:00 | Jonas Günster, B.Sc. Thesis Defense: Learning the Low-level Policy for Robot Air Hockey | E202+http://talks.robot-learning.net |
22.04.2022 | 15:00-15:30 | Marek Daniv, B.Sc. Thesis Defense: Graph-Based Model Predictive Visual Imitation Learning | E202+http://talks.robot-learning.net |
22.04.2022 | 14:00-15:00 | Tim Welschehold (Uni Freiburg), Invited Talk: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments | E202+http://talks.robot-learning.net |
8.04.2022 | 15:00-15:30 | Leon Magnus, B.Sc. Thesis Defense: Real-Time Object Tracking For Assembly | E202+http://talks.robot-learning.net |
8.04.2022 | 14:30-15:00 | Heiko Carrasco, M.Sc. Thesis Defense: Particle-Based Adaptive Sampling for Curriculum Learning | E202+http://talks.robot-learning.net |
8.04.2022 | 14:00-14:30 | Maximilian Tölle, M.Sc. Intermediate Presentation: Curriculum Adversarial Reinforcement Learning | E202+http://talks.robot-learning.net |
28.03.2022 | 13:30-14:30 | Luca Lach (PAL), Invited Talk: NeuTouch - Improving Mobile Manipulation Performance using Tactile Sensors (date fixed, time tentative) | S202/C205 |
25.03.2022 | 15:00-15:30 | Moritz Meser, B.Sc. Thesis Defense: Multi-Instance Pose Estimation for Robot Mikado | E202+http://talks.robot-learning.net |
25.03.2022 | 14:30-15:00 | Svenja Menzenbach, B.Sc. Thesis Defense: Leveraging Learned Graph-based Heuristics for efficiently solving the Combinatorics of Assembly | E202+http://talks.robot-learning.net |
25.03.2022 | 14:00-14:30 | Max Siebenborn, B.Sc. Thesis Defense: Evaluating Decision Transformer Architecture on Robot Learning Tasks | http://tiny.cc/7askoz |
18.03.2022 | 14:00-14:30 | Yannik Frisch, M.Sc. Thesis Defense: Analysis of Self-supervised Keypoint Detection Methods for Robot Learning | E202+http://talks.robot-learning.net |
11.03.2022 | 14:30-15:00 | Verena Sieburger, M.Sc. Thesis Defense: Development of a BaselineAgent in Robot Air Hockey | E202+http://talks.robot-learning.net |
11.03.2022 | 14:00-14:30 | Chen Xue, M.Sc. Thesis Defense: Task Classification and Local Manipulation Controllers | E202+http://talks.robot-learning.net |
4.03.2022 | 14:00-14:30 | Zhicheng Yang, M. Sc. Final Presentation: Exploring Gripping Behaviours for Human-Robot Handshaking | E202+http://talks.robot-learning.net |
25.02.2022 | 15:00-15:15 | Simon Kiefhaber, M.Sc. Intermediate Presentation: Leveraging Energy-Based Models for Multi-Object 6D Pose Estimation | E202+http://talks.robot-learning.net |
25.02.2022 | 14:00-15:00 | Rupert Mitchell (AIML), Invited Talk: Growing Neural Networks using Natural Gradients | E202+http://talks.robot-learning.net |
18.02.2022 | 14:00-14:30 | Heiko Carrasco, M.Sc. Intermediate Presentation: Optimal Sampling for Self-Paced Reinforcement Learning | E202+http://talks.robot-learning.net |
11.02.2022 | 17:00-18:00 | Byron Boots (University of Washington), Invited Talk: Machine Learning and Model Predictive Control for Adaptive Robotic Systems | E202+http://talks.robot-learning.net |
4.02.2022 | 15:00-15:30 | Felix Kaiser, M.Sc. Intermediate Presentation: Multi-Object Pose Estimation for Robotic Applications in Cluttered Scenes | E202+http://talks.robot-learning.net |
28.01.2022 | 15:00-15:30 | Yifei Wang, M.Sc. Thesis Defense: Learning with Composable Energy Policies | E202+http://talks.robot-learning.net |
28.01.2022 | 14:30-15:00 | Filip Bjelonic, M.Sc. Intermediate Presentation: Learning-based design and control for soft quadrupedal robots | E202+http://talks.robot-learning.net |
21.01.2022 | 15:00-15:30 | Nikita Rudin (NVIDIA and ETH Zurich), Invited Talk: Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning | E202+http://talks.robot-learning.net |
21.01.2022 | 14:30-15:00 | Verena Sieburger, M.Sc. Intermediate Presentation: Playing Robot Air Hockey | E202+http://talks.robot-learning.net |
14.01.2022 | 16:00-16:30 | Lei Xu, M.Sc. Thesis Defense: Integrated AI planning for general-purpose robot manipulation | E202+http://talks.robot-learning.net |
14.01.2022 | 15:00-16:00 | Danny Driess (TU Berlin), Invited Talk: Learning for Long-Horizon Manipulation Planning | http://tiny.cc/7askoz |
14.01.2022 | 14:30-15:00 | Jan Schneider, M.Sc. Intermediate Presentation: Model Predictive Policy Optimization amidst Uncertain Models | E202+http://talks.robot-learning.net |
7.01.2022 | 15:00-16:00 | Aldo Pacchiano (Microsoft Research NYC), Invited Talk: Towards an Understanding of Transfer Learning in Reinforcement Learning Domains | http://tiny.cc/7askoz |
7.01.2022 | 14:00-14:15 | Pengfei Zhao, M.Sc. Thesis Defense: Improving Gradient Directions for Episodic Policy Search | E202+http://talks.robot-learning.net |
20.12.2021 | 11:00-11:30 | Tom Buchholz, M.Sc. Thesis Defense: Variational Locally Projected Regression | E202+http://talks.robot-learning.net |
17.12.2021 | 15:30-15:50 | Yannik Frisch, M.Sc. Intermediate Presentation: Unsupervised patch -wise contrastive learning of keypoints for prediction and control | E202+http://talks.robot-learning.net |
17.12.2021 | 15:00-15:30 | Jiawei Huang, M.Sc. Thesis Defense: Multi-Objective Reactive Motion Planning in Mobile Manipulators | E202+http://talks.robot-learning.net |
17.12.2021 | 14:00-15:00 | Weiming Zhi (University of Sydney), Invited Talk: Diffeomorphic learning for sampling-based motion planning, generalised imitation learning\ , and beyond | http://tiny.cc/7askoz |
10.12.2021 | 14:00-15:00 | Thomas Schön (Uppsala University), Invited Talk: Deep Probabilistic Regression | http://tiny.cc/7askoz |
3.12.2021 | 16:00-17:00 | Chengshu Li (Stanford University), Invited Talk: BEHAVIOR and iGibson 2.0 Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments | E202+http://talks.robot-learning.net |
26.11.2021 | 14:00-14:30 | Martina Gassen, B.Sc. Thesis Defense: Learning a library of Physical Interactions for Social Robots | E202+http://talks.robot-learning.net |
19.11.2021 | 15:00-17:00 | Michael Lutter, Ph.D. Thesis Defense: Inductive Biases for Machine Learning in Robotics and Control | https://tinyurl.com/79x846b |
19.11.2021 | 11:15-11:30 | Lei Xu, M.Sc. Intermediate Presentation: Integrated AI planning for general-purpose robot manipulation | E202+http://talks.robot-learning.net |
19.11.2021 | 11:00-11:15 | Chen Xue, M.Sc. Intermediate Presentation: Task Classification and Local Manipulation Controllers | E202+http://talks.robot-learning.net |
16.11.2021 | 14:00-14:30 | Siwei Ju, Research Talk: Motor Sports and the Digital Twin | B002 |
12.11.2021 | 14:20-14:50 | Nick Heppert, M.Sc. Thesis Defense: Articulated Object Tracking for Robot Manipulation | E202+http://talks.robot-learning.net |
12.11.2021 | 14:00-14:20 | Zhicheng Yang, M.Sc. Intermediate Presentation: Exploring Gripping Behaviours and Haptic Emotions for Human-Robot Handshaking | E202+http://talks.robot-learning.net |
5.11.2021 | 14:30-15:00 | Zihan Ye, Research Talk: Efficient Gradient-Based Variational Inference with GMMs | E202+http://talks.robot-learning.net |
5.11.2021 | 14:00-14:30 | Theo Gruner, M.Sc. Thesis Defense: Wasserstein-Optimal Bayesian System Identification for Domain Randomization | E202+http://talks.robot-learning.net |
4.11.2021 | 15:30-17:30 | Hany Abdulsamad, Ph.D. Thesis Defense: Statistical Machine Learning for Stochastic Structured Systems | https://tinyurl.com/79x846b |
29.10.2021 | 15:00-15:45 | Andy Morgan (Yale), Invited Talk: Challenges of in-hand manipulation | E202+http://talks.robot-learning.net |
25.10.2021 | 18:30-21:30 | Stefan Loeckel, Ph.D. Thesis Defense: Machine Learning for Modeling and Analyzing of Race Car Drivers | https://tinyurl.com/4k728jp8 |
25.10.2021 | 14:00-15:00 | An Thai Le, Research Talk: Learning Task-parameterized Riemannian Motion Policies | https://tinyurl.com/668j4s3c |
22.10.2021 | 15:00-15:30 | Yifei Wang, M.Sc. Intermediate Presentation: Bimanual Control and Learning with Composable Energy Policies | E202+http://talks.robot-learning.net |
22.10.2021 | 14:30-15:00 | Tim Schneider, M.Sc. Thesis Defense: Active Inference for Robotic Manipulation | E202+http://talks.robot-learning.net |
20.10.2021 | 15:20-17:00 | Ruth Rosenholtz (MIT), Invited Talk: Demystifying the richness of visual perception | https://tu-darmstadt.zoom.us/j/82363067583?pwd=c3A4OERoenRvNGorRHEyRmtSenRjdz09 |
15.10.2021 | 14:00-14:30 | Jiawei Huang, M.Sc. Intermediate Presentation: Multi-objective reactive motion planning in mobile manipulators | E202+http://talks.robot-learning.net |
8.10.2021 | 11:00-11:20 | Yannick Eich, M.Sc. Thesis Defense: Distributionally Robust Optimization for Hybrid Systems | http://tiny.cc/7askoz |
30.09.2021 | 14:30-14:50 | Mohammad Amin Ali, B.Sc. Thesis Defense: An Educational Framework for Robot Learning | E202+http://talks.robot-learning.net |
30.09.2021 | 14:00-14:30 | Hassan Wahba, B.Sc. Thesis Defense: Deep Object-centered Heuristic for Robot Planning | E202+http://talks.robot-learning.net |
28.09.2021 | 17:00-18:30 | Fabio Muratore, Ph.D. Thesis Defense: Randomizing Physics Simulations for Robot Learning | https://tu-darmstadt.zoom.us/j/89209756776?pwd=U1VmbUlQWm8zL0hScVRrVUhmMlB0QT09 |
23.09.2021 | 15:30-16:30 | New Event | E202+http://talks.robot-learning.net |
23.09.2021 | 15:30-16:00 | Cedric Derstroff, M.Sc. Thesis Defense: Memory Representations for Partially Observable Reinforcement Learning | E202+http://talks.robot-learning.net |
23.09.2021 | 15:00-15:30 | Mattis Kaemmerer, M.Sc. Thesis Defense: Measure-Valued Derivatives for Machine Learning | E202+http://talks.robot-learning.net |
23.09.2021 | 14:00-15:00 | Beren Millidge (Oxford), Invited Talk: Perspectives on Active Inference for continuous control in POMDPs | E202+http://talks.robot-learning.net |
20.09.2021 | 14:15-14:45 | Carlos Luis, Research Talk: Uncertainty Representations in Reinforcement Learning | C205 |
20.09.2021 | 13:45-14:15 | Alessandro Bottero, Research Talk: Information-theoretic Safe Exploration | C205 |
20.09.2021 | 13:00-13:45 | Felix Berkencamp (BCAI), Invited Talk: Optimistic Exploration in Model-based Reinforcement Learning | C205 |
16.09.2021 | 14:00-15:00 | Shikhar Bahl (CMU), Invited Talk: Neural Dynamic Policies | E202+http://talks.robot-learning.net |
9.09.2021 | 14:00-15:00 | Fabio Muratore, Research Talk: Learning from Randomized Physics Simulations | E202+http://talks.robot-learning.net |
2.09.2021 | 15:00-15:30 | Jihao Andreas Lin, M.Sc. Thesis Defense: Functional Variational Inference for Bayesian Neural Networks | E202+http://talks.robot-learning.net |
2.09.2021 | 14:30-15:00 | Haoyi Yang, M.Sc. Thesis Defense: Variational Inference for Curriculum Reinforcement Learning | E202+http://talks.robot-learning.net |
2.09.2021 | 14:00-14:30 | Niranth Sai, Research Talk: Skill Priors for Accelerating Reinforcement Learning | E202+http://talks.robot-learning.net |
26.08.2021 | 15:00-15:15 | Pengfei Zhao, M.Sc. Intermediate Presentation: Improving Gradient Directions for Episodic Policy Search | E202+http://talks.robot-learning.net |
26.08.2021 | 14:30-15:00 | Frederik Wegner, M.Sc. Thesis Defense: Learning Tactile Representations from Vision-Based Tactile Sensors for Robotic Architectural Assembly | E202+http://talks.robot-learning.net |
26.08.2021 | 14:00-14:30 | Lukas Schneider, B.Sc. Thesis Defense: Distributional Monte-Carlo Tree Search | E202+http://talks.robot-learning.net |
19.08.2021 | 14:30-14:45 | Theo Gruner, M.Sc. Intermediate Presentation: Wasserstein-Optimal Distributional System Identification for Domain Randomization | E202+http://talks.robot-learning.net |
19.08.2021 | 14:15-14:30 | Tom Buchholz, M.Sc. Intermediate Presentation: Variational Locally Projected Regression | E202+http://talks.robot-learning.net |
19.08.2021 | 14:00-14:15 | Lukas Schneider, I.P. Conclusion: A Framework for Benchmarking Advances in MCTS in Chess | E202+http://talks.robot-learning.net |
12.08.2021 | 15:15-15:45 | Sebastian Seer, M.Sc. Intermediate Presentation: Learning Visual representations for Interactive tasks | E202+http://talks.robot-learning.net |
12.08.2021 | 14:45-15:15 | Cedric Derstroff, M.Sc. Intermediate Presentation: Memory Representations for Partially Observable Reinforcement Learning | E202+http://talks.robot-learning.net |
12.08.2021 | 14:00-14:45 | Jan-Matthis Lückmann, Research Talk: Simulation-Based Inference for Neuroscience and Beyond | E202+http://talks.robot-learning.net |
5.08.2021 | 14:00-14:45 | Tianyu Ren, Research Talk: Adaptive Task and Motion Planing | E202+http://talks.robot-learning.net |
29.07.2021 | 15:00-15:45 | Joe Watson, Research Talk: Bayesian Inference for Control | E202+http://talks.robot-learning.net |
29.07.2021 | 14:30-15:00 | Daniel Palenicek, M.Sc. Thesis Defense: Dyna-Style Model-based Reinforcement Learning with Value Expansion | E202+http://talks.robot-learning.net |
29.07.2021 | 14:00-14:30 | Tim Schneider, M.Sc. Intermediate Presentation: Tactile Active Inference | E202+http://talks.robot-learning.net |
23.07.2021 | 11:00-11:30 | Andreas Look, Research Talk: Neural SDEs | E202+http://talks.robot-learning.net |
23.07.2021 | 10:30-11:00 | Hamish Flynn, Research Talk: PAC Bayes Bound for Life-Long Reinforcement Learning | E202+http://talks.robot-learning.net |
22.07.2021 | 15:30-16:00 | Ricardo Grando, Research Talk: My experience with robotics and AI and a future outlook | E202+http://talks.robot-learning.net |
22.07.2021 | 14:45-15:30 | An Thai Le, Research Talk: Towards Human-Robot Collaboration with Logic-Geometric Programming and Human Motion Prediction | E202+http://talks.robot-learning.net |
22.07.2021 | 14:00-14:45 | Fabian Otto (BCAI), Invited Talk: Differentiable Trust Region Layers for Deep Reinforcement Learning | E202+http://talks.robot-learning.net |
15.07.2021 | 15:00-15:20 | Moritz Schneider, Research Talk: Disentangled Representations for Reinforcement Learning | E202+http://talks.robot-learning.net |
15.07.2021 | 14:30-15:00 | Antonello Scaldaferri, Research Talk: Learning Whole-Body Legged Locomotion Skills for Highly Dynamic Tasks | E202+http://talks.robot-learning.net |
15.07.2021 | 14:00-14:30 | Yannick Eich, M.Sc. Intermediate Presentation: Distributionally Robust Optimization For Hybrid Systems | E202+http://talks.robot-learning.net |
14.07.2021 | 15:20-16:20 | Nori Jacoby (Max Planck Institute for Empirical Esthetics), Invited Talk: Understanding Perceptual Priors with Massive Online Experiments | ttps://tu-darmstadt.zoom.us/j/88155893549?pwd=TFBiVG96S3czeHlCakVt SHlEK0M4dz09 |
8.07.2021 | 15:00-15:30 | Hany Abdulsamad, Research Talk: Distributionally-Robust Stochastic Optimal Control | E202+http://talks.robot-learning.net |
8.07.2021 | 14:30-15:00 | Hanyu Sun, M.Sc. Thesis Defense: Can we improve time-series classification with Inverse Reinforcement Learning? | E202+http://talks.robot-learning.net |
8.07.2021 | 14:00-14:30 | Lanmiao Liu, M.Sc. Thesis Defense: Detection and Prediction of Human Gestures by Probabilistic Modelling | E202+http://talks.robot-learning.net |
24.06.2021 | 14:30-15:00 | Yanhua Zhang, M.Sc. Thesis Defense: Memory Representations for Partially Observable Reinforcement Learning | E202+http://talks.robot-learning.net |
24.06.2021 | 14:00-14:30 | Jule Brendgen, M.Sc. Thesis Defense: The Relation between Social Interaction And Intrinsic Motivation in Reinforcement Learning | E202+http://talks.robot-learning.net |
17.06.2021 | 14:30-15:15 | Boris Belousov, Research Talk: Touch2Feel — Tactile Active Inference | http://tiny.cc/7askoz |
17.06.2021 | 14:00-14:30 | Michel Kohl, M.Sc. Thesis Defense: Learning Latent Interaction Models using Interaction Primitives | E202+http://talks.robot-learning.net |
10.06.2021 | 14:30-15:30 | Junning Huang, Research Talk: Model-based Reinforcement Learning for Plate Spinning | E202+http://talks.robot-learning.net |
10.06.2021 | 14:00-14:30 | Mattis Kaemmerer, M.Sc. Intermediate Presentation: Measure-Valued Derivatives for Machine Learning | E202+http://talks.robot-learning.net |
27.05.2021 | 14:30-15:30 | Philip Becker-Ehmck, Research Talk: Empowered Exploration | http://tiny.cc/7askoz |
27.05.2021 | 14:00-14:30 | Simon Kohaut, Honor Thesis Defense: Visual Perception for Assistive Robots | http://tiny.cc/7askoz |
20.05.2021 | 14:30-15:00 | Tuan Dam, Research Talk: Monte-Carlo Tree Search and its application in Robot Path Planning | http://tiny.cc/7askoz |
20.05.2021 | 14:00-14:30 | Alessandro Vincenti, B.Sc. Thesis Defense: Developing a Robot Head for Internal State Visualization | E202+http://talks.robot-learning.net |
17.05.2021 | 15:00-16:00 | Nikolai Matni (University of Pennsylvania), Invited Talk: Robust Learning for Safe Control | https://zoom.us/j/556365602?pwd=a0hsTHZURnF5akd2OTI0ektRNno2dz09 |
12.05.2021 | 11:30-12:00 | Joao Carvalho, Research Talk: An Analysis of MVDs for Reinforcement Learning | E202+http://talks.robot-learning.net |
12.05.2021 | 11:00-11:30 | Kay Hansel, M.Sc. Thesis Defense: Probabilistic Dynamic Mode Primitves | E202+http://talks.robot-learning.net |
12.05.2021 | 10:30-11:00 | David Rother, M.Sc. Thesis Defense: Reinforcement Learning in Decentralized Multi-Goal Multi-Agent Settings | E202+http://talks.robot-learning.net |
6.05.2021 | 14:30-15:00 | Niklas Funk, Research Talk: Real Robot Challenge 2020 - Overview of Methods and their effectiveness | E202+http://talks.robot-learning.net |
6.05.2021 | 14:00-14:30 | Frederik Wegner, M.Sc. Intermediate Presentation: Learning Vision- Based Tactile Representations for Robotic Architectural Assembly | E202+http://talks.robot-learning.net |
29.04.2021 | 14:00-14:30 | Puze Liu, Research Talk: Air Hockey and Null Space Optimization | E202+http://talks.robot-learning.net |
22.04.2021 | 15:00-15:45 | Felix Frank (VW Data Labs), Invited Talk: Constrained probabilistic movement primitives | http://tiny.cc/7askoz |
22.04.2021 | 14:30-15:00 | Moritz Andres, B.Sc. Thesis Defense: Person Recognition via Videodata and Audiodata | http://tiny.cc/7askoz |
22.04.2021 | 14:00-14:30 | Axel Patzwahl, M.Sc. Thesis Defense: Multi-sensor Fusion for Target Motion Prediction with an Application to Robot Baseball | http://tiny.cc/7askoz |
15.04.2021 | 14:30-15:00 | Zhenhui Zhou, M.Sc. Thesis Defense: Approximate Policy Search in Black Box Optimization | http://tiny.cc/7askoz |
15.04.2021 | 14:00-14:30 | Franziska Herbert, B.Sc. Thesis Defense: Using Multimodal Human Feedback for Reinforcement Learning | http://tiny.cc/7askoz |
8.04.2021 | 14:30-15:00 | Jianhang He, M.Sc. Thesis Defense: Imitation Learning using Energy Based Models | http://tiny.cc/7askoz |
8.04.2021 | 14:00-14:30 | Jonas Eschmann, M.Sc. Thesis Defense: Partially Unsupervised Deep Meta Reinforcement Learning | http://tiny.cc/7askoz |
1.04.2021 | 14:00-15:00 | Pascal Klink, Research Talk: Global Optimization in Machine Learning Applications | E202+http://talks.robot-learning.net |
25.03.2021 | 14:30-14:45 | Jule Brendgen, M.Sc. Intermediate Presentation: The Relation between Social Interaction And Intrinsic Motivation in Reinforcement Learning | E202+http://talks.robot-learning.net |
25.03.2021 | 14:00-14:30 | Yug Ajmera, M.Sc. Intermediate Presentation: Learning Movement Primitives for Handshaking Behaviours | E202+http://talks.robot-learning.net |
18.03.2021 | 14:00-14:15 | Haoyi Yang, M.Sc. Intermediate Presentation: Variational Inference for Curriculum Reinforcement Learning | E202+http://talks.robot-learning.net |
11.03.2021 | 15:00-15:30 | Gabriele Libardi, Invited Talk: Guided Exploration with Proximal Policy Optimization using a Single Demonstration | E202+http://talks.robot-learning.net |
11.03.2021 | 14:00-15:00 | Julen Urain, Research Talk: Imitation Flows | E202+http://talks.robot-learning.net |
4.03.2021 | 15:00-15:30 | Marius Zoeller, B.Sc. Thesis Defense: Graph Networks | E202+http://talks.robot-learning.net |
4.03.2021 | 14:30-15:00 | Moritz Andres, B.Sc. Intermediate Presentation: Person Recognition via Videodata and Audiodata | E202+http://talks.robot-learning.net |
4.03.2021 | 14:00-14:30 | Kay Hansel, M.Sc. Intermediate Presentation: Probabilistic Dynamic Mode Primitives | E202+http://talks.robot-learning.net |
25.02.2021 | 14:00-15:00 | Michael Lutter, Research Talk: Inductive Biases for Robot Learning | http://tiny.cc/7askoz |
18.02.2021 | 14:15-14:30 | Yanhua Zhang, M.Sc. Intermediate Presentation: Memory Representations for Partially Observable Reinforcement Learning | http://tiny.cc/7askoz |
18.02.2021 | 14:00-14:15 | Franziska Herbert, B.Sc. Intermediate Presentation: Using Multimodal Human Feedback for Reinforcement Learning | http://tiny.cc/7askoz |
11.02.2021 | 14:15-14:30 | Lanmiao Liu, M.Sc. Intermediate Presentation: Gestures Density Models | http://tiny.cc/7askoz |
11.02.2021 | 14:00-14:15 | Hanyu Sun, M.Sc. Intermediate Presentation: Action Recognition | http://tiny.cc/7askoz |
4.02.2021 | 14:30-15:00 | Janosch Moos, M.Sc. Thesis Defense: Approximate Variational Inference for Mixture Models | http://tiny.cc/7askoz |
4.02.2021 | 14:00-14:30 | Jan Rathjens, M.Sc. Thesis Defense: Accelerated Policy Search | http://tiny.cc/7askoz |
28.01.2021 | 15:00-15:15 | Jianhang He, M.Sc. Intermediate Presentation: Imitation Learning using Energy-Based Model | http://tiny.cc/7askoz |
28.01.2021 | 14:00-15:00 | Claudio Zito (TII), Invited Talk: Feature-Based Transfer Learning for Robotic Push Manipulation | http://tiny.cc/7askoz |
14.01.2021 | 14:30-14:45 | Zhenhui Zhou, M.Sc. Intermediate Presentation: Multi Modal Policy Search using Normalizing Flow | http://tiny.cc/7askoz |
14.01.2021 | 14:00-14:30 | David Rother, M.Sc. Intermediate Presentation: Reinforcement Learning in Decentralized Multi-Goal Multi-Agent Settings | http://tiny.cc/7askoz |
7.01.2021 | 14:00-14:30 | Felix Helfenstein, B.Sc. Thesis Defense: Benchmarking Deep Reinforcement Learning Algorithms | E202+http://talks.robot-learning.net |
21.12.2020 | 16:30-18:00 | Samuele Tosatto, Ph.D. Thesis Defense: Reinforcement Learning for Robotics | http://tiny.cc/7askoz |
17.12.2020 | 15:00-16:00 | Matthew Gombolay (Georgia Tech), Invited Talk: Democratizing Robot Learning for Human-Robot Teaming | http://tiny.cc/7askoz |
17.12.2020 | 14:30-15:00 | Jonas Eschmann, M.Sc. Intermediate Presentation: Partially Supervised Deep Meta Reinforcement Learning for Sim2Real Transfer | http://tiny.cc/7askoz |
17.12.2020 | 14:00-14:30 | Janosch Moos, M.Sc. Intermediate Presentation: Approximate Variational Inference for Mixture Models | http://tiny.cc/7askoz |
10.12.2020 | 15:00-15:20 | Axel Patzwahl, M.Sc. Intermediate presentation: Multi-sensor Fusion for Target Motion Prediction with an Application to Robot Baseball | http://tiny.cc/7askoz |
10.12.2020 | 14:30-15:00 | Fabian Damken, B.Sc. Thesis Defense: Variational Autoenconders for Koopman Dynamical Systems | http://tiny.cc/7askoz |
10.12.2020 | 14:00-14:30 | Moritz Schramm, B.Sc. Thesis Defense: Development of an Interactive Gesture Recognition System for an Assistive Robot | http://tiny.cc/7askoz |
8.12.2020 | 15:30-18:00 | Roberto Lampariello, Ph.D. Thesis Defense: Optimal Motion Planning for Object Interception and Grasping | http://tiny.cc/7askoz |
3.12.2020 | 15:30-17:30 | Daniel Tanneberg, Ph.D. Thesis Defense: Understand-Compute-Adapt: Neural Networks for Intelligent Agents | http://tiny.cc/7askoz |
3.12.2020 | 11:30-12:30 | Mario Zanon (IMT Lucca), Invited Talk at MPI-IS-EI: Reinforcement Learning based on Model Predictive Control | https://zoom.us/j/556365602?pwd=a0hsTHZURnF5akd2OTI0ektRNno2dz09 |
26.11.2020 | 14:30-15:00 | Rustam Galljamov, M.Sc. Thesis Defense: Sample-efficient learning-based controller for bipedal walking in robotic systems | http://tiny.cc/7askoz |
26.11.2020 | 14:00-14:30 | Albert Schotschneider, M.Sc. Thesis Defense: Learning High-Level Behavior for Autonomous Vehicles | http://tiny.cc/7askoz |
20.11.2020 | 13:00-13:30 | Maximilian Stasica, M.Sc. Thesis Defense: Comparison of human motor control models and their application to robotics | https://tu-darmstadt.zoom.us/j/8169149370 |
19.11.2020 | 15:00-15:30 | Tim Dorau, M.Sc. Thesis Defense: Distributionally Robust Optimization for Optimal Control | http://tiny.cc/7askoz |
19.11.2020 | 14:00-15:00 | Zico Kolter (CMU), Invited Talk: Equilibrium approaches to deep learning: One (implicit) layer is all you need | http://tiny.cc/7askoz, |
12.11.2020 | 15:00-16:00 | Nathan Ratliff (NVIDIA), Invited Talk: Geometric fabrics: Transparent tools for behavior engineering | http://tiny.cc/7askoz |
5.11.2020 | 14:00-15:00 | Emtiyaz Khan (RIKEN AIP), Invited Talk: Bayesian Principles for Learning Machines | http://tiny.cc/7askoz |
29.10.2020 | 14:00-15:00 | Gergely Neu (UPF), Invited Talk: Logistic Q-Learning | http://tiny.cc/7askoz |
22.10.2020 | 14:00-14:15 | Moritz Schramm, B.Sc. Intermediate Presentation: Development of an Interactive Gesture Recognition System for an Assistive Robot | http://tiny.cc/7askoz |
20.10.2020 | 11:00-12:00 | Martin Pecka, Research Talk: Safe Autonomous Reinforcement Learning | https://tu-darmstadt.zoom.us/j/89741914997 |
15.10.2020 | 14:15-14:30 | Mark Baierl, B.Sc. Thesis Defense: Learning action representations for primitives-based Humanoid control | http://tiny.cc/7askoz |
15.10.2020 | 14:00-14:15 | Erik Samstag, B.Sc. Thesis Defense: Bayesian Optimization for Biochemical Dose Response Measurements | http://tiny.cc/7askoz |
1.10.2020 | 14:30-15:00 | Patrick Krabbe, M.Sc. Thesis Defense: Learning Riemannian Movement Primitives for Manipulation | http://tiny.cc/7askoz |
1.10.2020 | 14:00-14:30 | Okan Koc (Amazon), Invited Talk: Safe Learning Control: What is out there and what is not? | http://tiny.cc/7askoz |
23.09.2020 | 10:00-11:00 | Oleg Arenz, Ph.D. Thesis Defense: Sample-Efficient I-Projections for Robot Learning | http://tiny.cc/7askoz |
22.09.2020 | 11:30-12:00 | Jia-Jie Zhu, Research Talk: Robust Learning Meets Robust Optimization -- Introduction to Distributionally Robust Optimization | Link on request |
17.09.2020 | 16:30-17:00 | Thomas Lautenschläger, M.Sc. Thesis Defense: Variational Inference For Switching Dynamics | http://tiny.cc/7askoz |
17.09.2020 | 16:00-16:30 | Alexander Klein, M.Sc. Thesis Defense: Learning Robot Grasping of Industrial Work Pieces using Dense Object Descriptors | http://tiny.cc/7askoz |
17.09.2020 | 15:00-16:00 | Marc Toussaint (TU Berlin), Invited Talk: Learning to do as planned | http://tiny.cc/7askoz |
10.09.2020 | 15:00-15:30 | Markus Semmler, M.Sc. Thesis Defense: Sequential Bayesian Optimal Experimental Design | http://tiny.cc/7askoz |
10.09.2020 | 14:00-15:00 | Michael Gienger (Honda Research Institute), Invited Talk: Dexterous Cooperation | http://tiny.cc/7askoz |
3.09.2020 | 14:45-15:30 | Oleg Arenz, Research Talk: Sample-Efficient I-Projections for Robot Learning | http://tiny.cc/7askoz |
3.09.2020 | 14:00-14:45 | Simon Guist, Research Talk: Hindsight State Manipulation | http://tiny.cc/7askoz |
27.08.2020 | 14:00-14:45 | Guilherme Maeda (Preferred Networks), Invited Talk: Phase portraits as movement primitives for fast humanoid robot control | http://tiny.cc/7askoz |
20.08.2020 | 15:00-16:00 | Stephen Tu (Google Brain), Invited Talk: Learning Stability Certificates from Data | http://tiny.cc/7askoz |
20.08.2020 | 14:30-14:45 | Jan Rathjens, M.Sc. Intermediate Presentation: Accelerated Policy Search | http://tiny.cc/7askoz |
13.08.2020 | 17:30-18:15 | Abdeslam Boularias (Rutgers U), Invited Talk: Model Identification for Robotic Manipulation | http://tiny.cc/7askoz |
13.08.2020 | 14:45-15:00 | Fabian Damken, B.Sc. Intermediate Presentation: Variational Autoenconders for Koopman Dynamical Systems | http://tiny.cc/7askoz |
13.08.2020 | 14:30-14:45 | Mark Baierl, B.Sc. Intermediate Presentation: Learning action representations for primitives-based Humanoid control | http://tiny.cc/7askoz |
13.08.2020 | 14:00-14:30 | Janosch Moos, Kay Hansel, Honor Thesis Defense: Survey on Robust Reinforcement Learning | http://tiny.cc/7askoz |
6.08.2020 | 14:45-15:30 | Tuan Dam, Research Talk: Convex Regularization in Monte-Carlo Tree Search | http://tiny.cc/7askoz |
6.08.2020 | 14:00-14:45 | Andras Kupcsik (BCAI), Invited Talk: Fast Learning and Sequencing of Object-centric Robot Manipulation Skills | http://tiny.cc/7askoz |
30.07.2020 | 14:45-15:15 | Rustam Galljamov, M.Sc. Intermediate Presentation: Sample-efficient learning-based controller for bipedal walking in robotic systems | http://tiny.cc/7askoz |
30.07.2020 | 14:00-14:45 | Takayuki Osa (Kyushu U), Invited Talk: Motion Planning by Learning Latent Representations | http://tiny.cc/7askoz |
28.07.2020 | 11:00-12:00 | Max Welling (Uni Amsterdam), Invited Talk: Graph Nets and Equivariance: The Next Generation | http://tiny.cc/7askoz |
23.07.2020 | 14:00-14:30 | Eike Mentzendorff, M.Sc. Thesis Defense: Multi-Objective Deep Reinforcement Learning through Manifold Optimization | http://tiny.cc/7askoz |
16.07.2020 | 14:00-14:30 | Johannes Silberbauer, M.Sc. Thesis Defense: A Differentiable Newton Euler Algorithm for Multi-body Model Learning | http://tiny.cc/7askoz |
15.07.2020 | 14:00-16:00 | IP Intermediate Presentation's Zoom Meeting | https://tu-darmstadt.zoom.us/j/97850134157?pwd=a1RFOUNBbzd3V0xrZ2I 0alFVaGIwQT09 |
9.07.2020 | 14:00-14:45 | Jens Kober (TU Delft), Invited Talk: Robots Learning [Through] Interactions | http://tiny.cc/7askoz |
2.07.2020 | 14:00-14:30 | Claas Voelcker, Honor Thesis Defense: Sequential Monte Carlo Input Inference for Control | http://tiny.cc/7askoz |
25.06.2020 | 14:45-15:15 | Vini Marconie Tengang, M.Sc. Thesis Defense: 3D Pose Estimation for Robot Mikado | http://tiny.cc/7askoz |
25.06.2020 | 14:00-14:45 | Philip Becker-Ehmck, Research Talk: Deep Onboard Quadcopter Control via Model-Based Reinforcement Learning | http://tiny.cc/7askoz |
18.06.2020 | 17:45-18:30 | Simon Guist, Research Talk: Hindsight State Manipulation | http://tiny.cc/7askoz |
18.06.2020 | 17:00-17:45 | Roberto Calandra (Facebook), Invited Talk: Rethinking Model-based Reinforcement Learning | http://tiny.cc/7askoz |
18.06.2020 | 16:00-17:00 | Yijiang Huang (MIT), Invited Talk: Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusion | http://tiny.cc/7askoz |
11.06.2020 | 15:30-16:00 | Qin Li, Research Talk: Human Motion Prediction Based on Graph Convolutional Network | http://tiny.cc/7askoz |
11.06.2020 | 15:00-15:30 | Stephane Tekam, M.Sc. Thesis defense: Policy Optimization via Gaussian Mixture Model | http://tiny.cc/7askoz |
11.06.2020 | 14:00-15:00 | Herke van Hoof (UVA), Invited Talk: Learning heuristics for combinatorial optimization | http://tiny.cc/7askoz |
4.06.2020 | 14:00-14:30 | Yang Weng (U. Tokyo), Invited Talk: Reinforcement Learning Based Underwater Wireless Optical Communication Alignment for Multiple Autonomous Underwater Vehicles | http://tiny.cc/7askoz |
28.05.2020 | 14:00-14:45 | Christoph Zimmer (BCAI), Invited Talk: Safe active learning for time series modeling with gaussian processes | http://tiny.cc/7askoz |