By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

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

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: