System design of an Anthropomorphic arm robot for dynamic interaction task

Abstract

This paper investigates the system design of a 7-DOFs Anthropomorphic arm robot for fast dynamic interaction task, taking the ping-pong rally task against human as an example. The robot system includes the arm mechanism, real-time stereo vision sub-system, ball trajectory prediction, racket motion trajectory planning, and distributed joint controllers. The algorithms for ball identification, ball trajectory prediction, and hitting planning are presented. The validity of the system is demonstrated via rally experiments.