A learning scheme for the parameter identification of robot dynamics

Abstract

In this paper, a new identification method, called learning identification algorithm, of the model parameters of robot dynamics is proposed. This method has the following features: it does not require the exciting trajectory, and the measurements of joint accelerations and velocities. The method is demonstrated experimentally by estimating the dynamic parameters of a shaped glass cutting robot.