2 citations · 2 across the 2 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★ 2 cited
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
Jan Achterhold, Philip Tobuschat, Hao Ma +3
In this paper, we present a method for table tennis ball trajectory filtering and prediction. Our gray-box approach builds on a physical model. At the same time, we use data to lea…