@inproceedings{30a8d7f689754b159c0d9904782bc207,
title = "Kinematic calibration of parallel robots using CMM",
abstract = "A new method for calibrating parallel robots is proposed. It requires measurements of all legs and the pose information provided by coordinate measuring machine. Nonlinear least squares is employed to determine the kinematic parameters. The parameters of the measurement errors in the leg sensors are considered during kinematic modeling and parameter identification program. Experimental results presented demonstrate that the root mean square pose error can be improved at 80% with the 48 identified parameters.",
keywords = "Error modeling, Kinematic calibration, Parallel robot, Parameter identification",
author = "Dacheng Cong and Dayong Yu and Junwei Han",
year = "2006",
doi = "10.1109/WCICA.2006.1713640",
language = "英语",
isbn = "1424403324",
series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
pages = "8514--8518",
booktitle = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
note = "6th World Congress on Intelligent Control and Automation, WCICA 2006 ; Conference date: 21-06-2006 Through 23-06-2006",
}