• DocumentCode
    2247527
  • Title

    A geometrical approach for online error compensation of industrial manipulators

  • Author

    Mustafa, Shabbir Kurbanhusen ; Tao, Pey Yuen ; Yang, Guilin ; Chen, I-Ming

  • Author_Institution
    Singapore Inst. of Manuf. Technol., Mechatron. Group, Agency for Sci., Technol. & Res., Singapore, Singapore
  • fYear
    2010
  • fDate
    6-9 July 2010
  • Firstpage
    738
  • Lastpage
    743
  • Abstract
    In this paper, a comprehensive online error compensation approach using offline calibration results is proposed for industrial manipulators (with closed control architecture), in order to improve its accuracy. The contents in this paper include a calibration algorithm based on the product-of-exponential formula, an online error compensation procedure for implementing the calibration results on industrial manipulators, and an experimental study that is conducted on a 6-DOF industrial manipulator from ABB (Model: IRB-4400) with a laser tracker system from Leica (Model: AT901-MR) and its Tracker-Machine control sensor. After implementing the proposed online error compensation approach, the accuracy of the ABB industrial manipulator improved to 0.3 mm, thus verifying the effectiveness of the proposed error compensation approach.
  • Keywords
    calibration; closed loop systems; error compensation; industrial manipulators; optical tracking; 6-DOF industrial manipulator; ABB industrial manipulator; calibration algorithm; closed control architecture; comprehensive online error compensation; geometrical approach; industrial manipulators; laser tracker system; offline calibration; product-of-exponential formula; tracker-machine control sensor; Calibration; Joints; Kinematics; Robot kinematics; Robot sensing systems; Service robots; Calibration; Industrial Robotics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2010 IEEE/ASME International Conference on
  • Conference_Location
    Montreal, ON
  • Print_ISBN
    978-1-4244-8031-9
  • Type

    conf

  • DOI
    10.1109/AIM.2010.5695784
  • Filename
    5695784