Comparison of weighted least squares and extended Kalman filtering methods for dynamic identification of robots

摘要

This paper presents a comparison of two methods for robot dynamic identification which include the weighted least squares estimation and the extended Kalman filtering. Comparative experimental results and discussion are presented for a SCARA robot.