Understanding and Applying a Robot Ping-Pong Player's Expert Controller

Our robot ping-pong system attains good performance in a complex non-linear environment subject to tight temporal constraints. We will show how the expert controller combines approximate estimates and feedback to arrive at a suitable task plan, emphasizing feasibility rather than strict optimality. We will discuss the characteristics of the expert controller that cause it to work, and their relationship to other tasks.