DateTimeEventLocation
29.07.202115:00-15:45Joe Watson, Research Talk: Bayesian Inference for Controlhttp://tiny.cc/7askoz
29.07.202114:30-15:00Daniel Palenicek, M.Sc. Thesis Defense: Dyna-Style Model-based Reinforcement Learning with Value Expansionhttp://tiny.cc/7askoz
29.07.202114:00-14:30Tim Schneider, M.Sc. Intermediate Presentation: Tactile Active Inferencehttp://tiny.cc/7askoz
23.07.202111:00-11:30Andreas Look, Research Talk: Neural SDEshttp://tiny.cc/7askoz
23.07.202110:30-11:00Hamish Flynn, Research Talk: PAC Bayes Bound for Life-Long Reinforcement Learninghttp://tiny.cc/7askoz
22.07.202115:30-16:00Ricardo Grando, Research Talk: My experience with robotics and AI and a future outlookhttp://tiny.cc/7askoz
22.07.202114:45-15:30An Thai Le, Research Talk: Towards Human-Robot Collaboration with Logic-Geometric Programming and Human Motion Predictionhttp://tiny.cc/7askoz
22.07.202114:00-14:45Fabian Otto (BCAI), Invited Talk: Differentiable Trust Region Layers for Deep Reinforcement Learninghttp://tiny.cc/7askoz
15.07.202115:00-15:20Moritz Schneider, Research Talk: Disentangled Representations for Reinforcement Learninghttp://tiny.cc/7askoz
15.07.202114:30-15:00Antonello Scaldaferri, Research Talk: Learning Whole-Body Legged Locomotion Skills for Highly Dynamic Taskshttp://tiny.cc/7askoz
15.07.202114:00-14:30Yannick Eich, M.Sc. Intermediate Presentation: Distributionally Robust Optimization For Hybrid Systemshttp://tiny.cc/7askoz
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 Controlhttp://tiny.cc/7askoz
8.07.202114:30-15:00Hanyu Sun, M.Sc. Thesis Defense: Can we improve time-series classification with Inverse Reinforcement Learning?http://tiny.cc/7askoz
8.07.202114:00-14:30Lanmiao Liu, M.Sc. Thesis Defense: Detection and Prediction of Human Gestures by Probabilistic Modellinghttp://tiny.cc/7askoz
24.06.202114:30-15:00Yanhua Zhang, M.Sc. Thesis Defense: Memory Representations for Partially Observable Reinforcement Learninghttp://tiny.cc/7askoz
24.06.202114:00-14:30Jule Brendgen, M.Sc. Thesis Defense: The Relation between Social Interaction And Intrinsic Motivation in Reinforcement Learninghttp://tiny.cc/7askoz
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 Primitiveshttp://tiny.cc/7askoz
10.06.202114:30-15:30Junning Huang, Research Talk: Model-based Reinforcement Learning for Plate Spinninghttp://tiny.cc/7askoz
10.06.202114:00-14:30Mattis Kaemmerer, M.Sc. Intermediate Presentation: Measure-Valued Derivatives for Machine Learninghttp://tiny.cc/7askoz
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 Visualizationhttp://tiny.cc/7askoz
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 Learninghttp://tiny.cc/7askoz
12.05.202111:00-11:30Kay Hansel, M.Sc. Thesis Defense: Probabilistic Dynamic Mode Primitveshttp://tiny.cc/7askoz
12.05.202110:30-11:00David Rother, M.Sc. Thesis Defense: Reinforcement Learning in Decentralized Multi-Goal Multi-Agent Settingshttp://tiny.cc/7askoz
6.05.202114:30-15:00Niklas Funk, Research Talk: Real Robot Challenge 2020 - Overview of Methods and their effectivenesshttp://tiny.cc/7askoz
6.05.202114:00-14:30Frederik Wegner, M.Sc. Intermediate Presentation: Learning Vision- Based Tactile Representations for Robotic Architectural Assemblyhttp://tiny.cc/7askoz
29.04.202114:00-14:30Puze Liu, Research Talk: Air Hockey and Null Space Optimizationhttp://tiny.cc/7askoz
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 Applicationshttp://tiny.cc/7askoz
25.03.202114:30-14:45Jule Brendgen, M.Sc. Intermediate Presentation: The Relation between Social Interaction And Intrinsic Motivation in Reinforcement Learninghttp://tiny.cc/7askoz
25.03.202114:00-14:30Yug Ajmera, M.Sc. Intermediate Presentation: Learning Movement Primitives for Handshaking Behaviourshttp://tiny.cc/7askoz
18.03.202114:00-14:15Haoyi Yang, M.Sc. Intermediate Presentation: Variational Inference for Curriculum Reinforcement Learninghttp://tiny.cc/7askoz
11.03.202115:00-15:30Gabriele Libardi, Invited Talk: Guided Exploration with Proximal Policy Optimization using a Single Demonstrationhttp://tiny.cc/7askoz
11.03.202114:00-15:00Julen Urain, Research Talk: Imitation Flowshttp://tiny.cc/7askoz
4.03.202115:00-15:30Marius Zoeller, B.Sc. Thesis Defense: Graph Networkshttp://tiny.cc/7askoz
4.03.202114:30-15:00Moritz Andres, B.Sc. Intermediate Presentation: Person Recognition via Videodata and Audiodatahttp://tiny.cc/7askoz
4.03.202114:00-14:30Kay Hansel, M.Sc. Intermediate Presentation: Probabilistic Dynamic Mode Primitiveshttp://tiny.cc/7askoz
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 Algorithmshttp://tiny.cc/7askoz
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

  

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