DateTimeEventLocationNotes
16.10.202415:30-16:30Cristian Guillermo Gebhardt (U. Bergen), Invited Talk: Formulation , Analysis and Solution of Optimization Subproblems in Data-Driven Computational MechanicsGeb.: L5|06, Raum: 11\n
18.10.202414:00-14:30Duc Huy Nguyen, B.Sc. Thesis Defense: Simulation of Vision-Based Tactile Sensors for Reinforcement LearningE202+http://talks.robot-learning.net
 14:30-15:00Tristan Tisch, M.Sc. Thesis Defense: Dynamic Multi-Agent Reward Sharing 
 15:00-15:30Faran Ahmad, B.Sc. Thesis Defense: Diminishing Return of Value Expansion Methods in Discrete Model-Based Reinforcement Learning 
25.10.202415:00-15:30Felix Nonnengießer, M.Sc. Intermediate Presentation: Visuotactile In-Hand Pose EstimationE202+http://talks.robot-learning.net
 15:30-16:00Yuheng Ouyan, M.Sc. Thesis Defense: Hierarchical Reinforcement Learning with Self-Play for Robotic Air Hockey 
1.11.202414:00-14:30Noah Becker, Expert Lab Final Presentation: Integrating and Evaluating Visuo-tactile Sensing with Haptic Feedback for Teleoperated Robot ManipulationE202+http://talks.robot-learning.net
15.11.202414:00-14:30Daniel Palenicek, Research Talk: Batch Normalization for Deep Reinforcement LearningE202+http://talks.robot-learning.net
 14:30-15:00Noah Farr, B.Sc. Thesis Defense: On Designing Reward Functions for Robotic Tasks 
 15:00-15:30Niklas Hellinger, M.Sc. Thesis Defense: Calibrating F/T SensorsE202Über Google Meet teilnehmen: https://meet.google.com/kxo-oivn-ncu\n\nWeitere Informationen zu Meet: https://support.google.com/a/users/answer/9282720
22.11.202414:00-14:45An Thai Le, Research Talk: Global Tensor Motion PlanningE202+http://talks.robot-learning.net
29.11.202414:00-15:00Puze Liu, Research Talk: Test Talk for Ph. D. defenseE202+http://talks.robot-learning.net
 15:00-15:30Moritz Meser, M.Sc. Thesis Defense: Model Predictive Control of Humanoids 
6.12.202411:00-12:00Marc Bellemare (Reliant AI and McGill), Invited Talk: Tentativ and T.B.A.E202+http://talks.robot-learning.net
6.12.202414:00-16:00Carlos Luis, Ph.D. Thesis Defense: Uncertainty in Model-Based Reinforcement LearningE202+http://talks.robot-learning.net
10.12.202417:30-19:30Joe Watson, Ph.D. Thesis Defense: Inference, Models & Priors for ControlE202+http://talks.robot-learning.net
11.12.202419:30-21:30Puze Liu, Ph.D. Thesis Defense: Machine Learning in High Speed RoboticsE202+http://talks.robot-learning.net
20.12.202414:00-14:45Kay Hansel, Research Talk: TBDE202+http://talks.robot-learning.net
10.01.202514:00-15:00Oleg Arenz, Research Talk: TBDE202+http://talks.robot-learning.net
17.01.202511:00-12:00Ed Johns (Imperial), Invited Talk: T.B.A.E202+http://talks.robot-learning.net
17.01.202514:00-16:00Joao Carvalho, Ph.D. Thesis Defense: Learning Methods for Optimization, Control, and Planning in Robotic ManipulationE202+http://talks.robot-learning.net
24.01.202514:00-15:00Paul Jansonnie, Research Talk: TBDE202+http://talks.robot-learning.net
31.01.202514:00-15:00Tim Schneider, Research Talk: Active Haptic ExplorationE202+http://talks.robot-learning.net
7.02.202514:00-14:45Leon Keller, Research Talk: TBDE202+http://talks.robot-learning.net
 (:else:) 
DateTimeEventLocation
16.10.202415:30-16:30Cristian Guillermo Gebhardt (U. Bergen), Invited Talk: Formulation , Analysis and Solution of Optimization Subproblems in Data-Driven Computational MechanicsGeb.: L5|06, Raum: 11
18.10.202414:00-14:30Duc Huy Nguyen, B.Sc. Thesis Defense: Simulation of Vision-Based Tactile Sensors for Reinforcement LearningE202+http://talks.robot-learning.net
 14:30-15:00Tristan Tisch, M.Sc. Thesis Defense: Dynamic Multi-Agent Reward Sharing 
 15:00-15:30Faran Ahmad, B.Sc. Thesis Defense: Diminishing Return of Value Expansion Methods in Discrete Model-Based Reinforcement Learning 
25.10.202415:00-15:30Felix Nonnengießer, M.Sc. Intermediate Presentation: Visuotactile In-Hand Pose EstimationE202+http://talks.robot-learning.net
 15:30-16:00Yuheng Ouyan, M.Sc. Thesis Defense: Hierarchical Reinforcement Learning with Self-Play for Robotic Air Hockey 
1.11.202414:00-14:30Noah Becker, Expert Lab Final Presentation: Integrating and Evaluating Visuo-tactile Sensing with Haptic Feedback for Teleoperated Robot ManipulationE202+http://talks.robot-learning.net
15.11.202414:00-14:30Daniel Palenicek, Research Talk: Batch Normalization for Deep Reinforcement LearningE202+http://talks.robot-learning.net
 14:30-15:00Noah Farr, B.Sc. Thesis Defense: On Designing Reward Functions for Robotic Tasks 
 15:00-15:30Niklas Hellinger, M.Sc. Thesis Defense: Calibrating F/T SensorsE202
22.11.202414:00-14:45An Thai Le, Research Talk: Global Tensor Motion PlanningE202+http://talks.robot-learning.net
29.11.202414:00-15:00Puze Liu, Research Talk: Test Talk for Ph. D. defenseE202+http://talks.robot-learning.net
 15:00-15:30Moritz Meser, M.Sc. Thesis Defense: Model Predictive Control of Humanoids 
6.12.202411:00-12:00Marc Bellemare (Reliant AI and McGill), Invited Talk: Tentativ and T.B.A.E202+http://talks.robot-learning.net
6.12.202414:00-16:00Carlos Luis, Ph.D. Thesis Defense: Uncertainty in Model-Based Reinforcement LearningE202+http://talks.robot-learning.net
10.12.202417:30-19:30Joe Watson, Ph.D. Thesis Defense: Inference, Models & Priors for ControlE202+http://talks.robot-learning.net
11.12.202419:30-21:30Puze Liu, Ph.D. Thesis Defense: Machine Learning in High Speed RoboticsE202+http://talks.robot-learning.net
20.12.202414:00-14:45Kay Hansel, Research Talk: TBDE202+http://talks.robot-learning.net
10.01.202514:00-15:00Oleg Arenz, Research Talk: TBDE202+http://talks.robot-learning.net
17.01.202511:00-12:00Ed Johns (Imperial), Invited Talk: T.B.A.E202+http://talks.robot-learning.net
17.01.202514:00-16:00Joao Carvalho, Ph.D. Thesis Defense: Learning Methods for Optimization, Control, and Planning in Robotic ManipulationE202+http://talks.robot-learning.net
24.01.202514:00-15:00Paul Jansonnie, Research Talk: TBDE202+http://talks.robot-learning.net
31.01.202514:00-15:00Tim Schneider, Research Talk: Active Haptic ExplorationE202+http://talks.robot-learning.net
7.02.202514:00-14:45Leon Keller, Research Talk: TBDE202+http://talks.robot-learning.net