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09/13/2023
Investigating the Impact of Action Representations in Policy Gradient Algorithms
Reinforcement learning (RL) is a versatile framework for learning to sol...
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08/28/2023
Data-Efficient Online Learning of Ball Placement in Robot Table Tennis
We present an implementation of an online optimization algorithm for hit...
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07/05/2023
A Robust Open-source Tendon-driven Robot Arm for Learning Control of Dynamic Motions
A long-lasting goal of robotics research is to operate robots safely, wh...
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06/16/2023
Synchronizing Machine Learning Algorithms, Realtime Robotic Control and Simulated Environment with o80
Robotic applications require the integration of various modalities, enco...
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03/03/2023
Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning
Reinforcement learning has shown great potential in solving complex task...
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10/12/2022
AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation
To approach the level of advanced human players in table tennis with rob...
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07/08/2022
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks
Humans are able to outperform robots in terms of robustness, versatility...
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06/29/2022
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios
Recurrent State-space models (RSSMs) are highly expressive models for le...
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05/30/2022
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
Muscle-actuated organisms are capable of learning an unparalleled divers...
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12/06/2021
Hierarchical Reinforcement Learning with Timed Subgoals
Hierarchical reinforcement learning (HRL) holds great potential for samp...
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10/20/2020
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning
Estimating accurate forward and inverse dynamics models is a crucial com...
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06/10/2020
Learning to Play Table Tennis From Scratch using Muscular Robots
Dynamic tasks like table tennis are relatively easy to learn for humans ...
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04/07/2019