• DocumentCode
    3311594
  • Title

    Research on the kinematic calibration of a modular reconfigurable robot

  • Author

    Xinan Pan ; Hongguang Wang ; Yong Jiang

  • Author_Institution
    State Key Lab. of Robot., Shenyang Inst. of Autom., Shenyang, China
  • fYear
    2013
  • fDate
    4-7 Aug. 2013
  • Firstpage
    562
  • Lastpage
    568
  • Abstract
    This paper focuses on the kinematic calibration of a modular reconfigurable robot. To aim at low complexity and high generality, a new calibration method was proposed. Based on the definition of independent modules and the kinematics, the kinematic errors were divided into two categories, and will be calibrated respectively. The first category is the individual module errors, which represent the machining errors of modules; they will be calibrated directly by measuring tools. The second category is the assembly errors between consecutive modules, and will be calibrated by using Jacobian. A concept of virtual joint was proposed to deal with the cases that the axes of the errors are not coincident with any rotary joint. The proposed method decouples the errors and lowers the order of calibration equations, and thus has a simple representation and lower computational complexity. The results of the simulation show that the method is of validity, generality, and accuracy.
  • Keywords
    Jacobian matrices; calibration; robot kinematics; Jacobian matrix; assembly errors; calibration equations; computational complexity; kinematic calibration; kinematic errors; machining errors; measuring tools; modular reconfigurable robot; virtual joint concept; Assembly; Calibration; Joints; Kinematics; Machining; Mathematical model; Robots; Jacobian; calibration; modular reconfigurable robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2013 IEEE International Conference on
  • Conference_Location
    Takamatsu
  • Print_ISBN
    978-1-4673-5557-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2013.6617978
  • Filename
    6617978