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Accurate calibration of a robotic positioning system using the evolutionary search

  • Yau Zen Chang*
  • , Jung Fu Hou
  • , Shih Tseng Lee
  • *此作品的通信作者
  • Chang Gung University

研究成果: 圖書/報告稿件的類型會議稿件同行評審

摘要

This paper presents an evolutionary search strategy based on the island model to find the accurate transformation matrix between an infrared optical tracking system and a 6-axis robot arm. We demonstrate how a parallel genetic-algorithm mechanism, also known as the migration scheme, coupled with a local simplex-downhill strategy can effectively solve this multi-dimensional difficult problem. Finally, experimental and numerical example of the proposed strategy for a system composed of a Mitsubishi Electric RV 6S robot arm and an NDI Polaris system is presented. Performance of the calibrated positioning system has a maximum positioning error of 0.6 mm within a one meter cubic working space.

原文英語
主出版物標題IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
頁面3886-3891
頁數6
DOIs
出版狀態已出版 - 2006
事件IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics - Paris, 法國
持續時間: 06 11 200610 11 2006

出版系列

名字IECON Proceedings (Industrial Electronics Conference)

Conference

ConferenceIECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
國家/地區法國
城市Paris
期間06/11/0610/11/06

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