• DocumentCode
    1865347
  • Title

    Kinematic calibration of a 7-DOF self-calibrated modular cable-driven robotic arm

  • Author

    Mustafa, Shabbir Kurbanhusen ; Yang, Guilin ; Yeo, Song Huat ; Lin, Wei

  • Author_Institution
    Mechatron. Group, Singapore Inst. of Manuf. Technol., Singapore
  • fYear
    2008
  • fDate
    19-23 May 2008
  • Firstpage
    1288
  • Lastpage
    1293
  • Abstract
    This paper presents the kinematic calibration of a novel 7-degree-of-freedom (DOF) cable-driven robotic arm (CDRA), aimed at improving its absolute positioning accuracy. This CDRA consists of three ´self-calibrated´ cable-driven parallel mechanism (CDPM) modules. In order to account for any kinematic errors that might arise when assembling the individual CDPMs, a calibration model is formulated based on the local product-of-exponential formula and the measurement residues in the tool-tip frame poses. An iterative least-squares algorithm is employed to identify the errors in the fixed transformation frames of the sequentially assembled ´self- calibrated´ CDPM modules. Both computer simulations and experimental studies were carried out to verify the robustness and effectiveness of the proposed calibration algorithm. From the experimental studies, errors in the fixed kinematic transformation frames were precisely recovered after a minimum of 15 pose measurements.
  • Keywords
    calibration; manipulator kinematics; 7-DOF self-calibrated modular cable-driven robotic arm; absolute positioning accuracy; calibration model; iterative least-squares algorithm; kinematic calibration; local product-of-exponential formula; self-calibrated cable-driven parallel mechanism; tool-tip frame poses; Arm; Calibration; Humanoid robots; Humans; Iterative algorithms; Kinematics; Parallel robots; Rehabilitation robotics; Robotic assembly; Robotics and automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
  • Conference_Location
    Pasadena, CA
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-1646-2
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2008.4543381
  • Filename
    4543381