SIMULATION ON PREDICTION TRACE OF PING PANG BALL USING LWR LEARNING

RUI Qing, HU Zongwu, FUmio Miyazaki. SIMULATION ON PREDICTION TRACE OF PING PANG BALL USING LWR LEARNING[J]. ROBOT, 1998, 20(5): 373-377,388.

Citation:

RUI Qing, HU Zongwu, FUmio Miyazaki. SIMULATION ON PREDICTION TRACE OF PING PANG BALL USING LWR LEARNING[J]. ROBOT, 1998, 20(5): 373-377,388.

Citation:

RUI Qing, HU Zongwu, FUmio Miyazaki. SIMULATION ON PREDICTION TRACE OF PING PANG BALL USING LWR LEARNING[J]. ROBOT, 1998, 20(5): 373-377,388.

Abstract

The task of Ping Pong Robot is to hit back the ping pong ball to the opposite court., and it is made up of two steps: sensing and hitting. This paper studies the sensing of the robot. The method uses LWR(Locally Weighted Regression) learning to estimate the trace of the ping pong ball after bounding.

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