Learning Control for Robot Manipulators Under Geometric Endpoint Constraint

Abstract

A learning control scheme for a class of robot manipulators whose end point is geometrically constrained is proposed. This scheme is based on only PD feedback control and composed of a simple recursive update law, which makes the next actuator input torque consist of the vector of previous angular velocity errors and the force error at the manipulator endpoint constrained on a surface.