Data-Efficient Online Learning of Ball Placement in Robot Table Tennis
Philip Tobuschat,Hao Ma,Dieter Büchler,Bernhard Schölkopf,Michael Muehlebach,Philip Tobuschat,Hao Ma,Dieter Büchler,Bernhard Schölkopf,Michael Muehlebach
We present an implementation of an online op-timization algorithm for hitting a predefined target when returning ping-pong balls with a table tennis robot. The online algorithm optimizes over so-called interception policies, which define the manner in which the robot arm intercepts the ball. In our case, these are composed of the state of the robot arm (position and velocity) at interception time....
