On-line Configuration-optimizing Control of Redundant Manipulator Based on AMSIP

Abstract

This paper is concerned with trajectory tracking and obstacle avoidance control using avoidance manipulability of redundant manipulators. We have proposed a new manufacturing system using robot to deal with object with unknown shape by combining an avoidance control system and preview control system. However, through analyses and simulation studies it develops that the shape of redundant manipulator was not always kept to the best configuration on the view point of shape-changing ability. In this paper we propose a new criterion to evaluate the shape-changing ability in the configuration space while tracking the hand-desired trajectory. Using this criterion we constructed real-time configuration control system with preview evaluation by introducing imaginary manipulator in future time. Finally the proposed system was evaluated by several simulations on the point of real-time configuration optimization, and the feasibility of total system was analyzed. [23] Fig. 1