Approximate Jacobian adaptive control for robot manipulators

Abstract

Research so far on trajectory tracking control of robot has assumed that the kinematics of the robot is known exactly. In this paper, a new approximate Jacobian adaptive controller is proposed for trajectory tracking of robot with uncertain kinematics and dynamics. It is shown that the robot end effector is able to converge to a desired trajectory with the uncertain kinematics and dynamics parameters being updated online by parameter update laws. Experimental results are presented to illustrate the performance of the proposed controllers.