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

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2 Author(s)
Poignet, Ph. ; Lab. de Vision et Robotique, IUT de Bourges, France ; Gautier, M.

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

Published in:

Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on  (Volume:4 )

Date of Conference:

2000

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