8 citations · 9 across the 5 of their papers we have counts for
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cs.RO2023
Data-Efficient Online Learning of Ball Placement in Robot Table Tennis
Philip Tobuschat, Hao Ma, Dieter Büchler +2
We present an implementation of an online optimization algorithm for hitting a predefined target when returning ping-pong balls with a table tennis robot. The online algorithm opti…
cs.RO2023
Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning
Simon Guist, Jan Schneider, Alexander Dittrich +3
Reinforcement learning has shown great potential in solving complex tasks when large amounts of data can be generated with little effort. In robotics, one approach to generate trai…