Extended Kalman filtering and weighted least squares dynamic identification of robot

摘要

This paper presents an experimental comparison between the weighted least squares (WLS) estimation and the extended Kalman filtering (EKF) method for robot dynamic identification. Comparative results and discussion are presented for a SCARA robot, depending on a priori knowledge and data filtering.