• DocumentCode
    734173
  • Title

    Inverse-free solution of Z1G1 type to acceleration-level inverse kinematics of redundant robot manipulators

  • Author

    Ying Wang ; Xiaogang Yan ; Liangyu He ; Hongzhou Tan ; Yunong Zhang

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Sun Yat-sen Univ. (SYSU), Guangzhou, China
  • fYear
    2015
  • fDate
    27-29 March 2015
  • Firstpage
    57
  • Lastpage
    62
  • Abstract
    In past decades, the online solution of inverse kinematics (IK) has always been a mathematically troublesome problem for redundant robot manipulators. Besides, the traditional IK approaches, such as the pseudo-inverse method, have to calculate the computationally expensive inverse (specifically, pseudo-inverse) of Jacobian matrix. To drastically and effectively avoid the Jacobian inversion and to obtain the accurate solution of the time-varying IK problem for redundant robot manipulators, a special type of inverse-free solution, namely of Z1G1 type, is thus proposed and investigated at the joint-acceleration level in this paper. In addition, we conduct the path-tracking simulations performed on three-link, four-link and five-link planar robot manipulators to substantiate the effectiveness and accuracy of such an inverse-free solution. Moreover, the experiment based on a six-link redundant robot manipulator hardware system illustrates the physical realizability of the proposed novel solution for handling the time-varying IK problem of the redundant robot manipulator(s) in an inverse-free manner.
  • Keywords
    Jacobian matrices; manipulator kinematics; Jacobian inversion; Jacobian matrix; ZIGI; acceleration-level inverse kinematics; five-link planar robot manipulators; four-link planar robot manipulators; inverse-free manner; inverse-free solution; mathematically troublesome problem; pseudo-inverse method; redundant robot manipulators; three-link planar robot manipulators; time-varying IK problem; Acceleration; Hardware; Joints; Kinematics; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (ICACI), 2015 Seventh International Conference on
  • Conference_Location
    Wuyi
  • Print_ISBN
    978-1-4799-7257-9
  • Type

    conf

  • DOI
    10.1109/ICACI.2015.7184749
  • Filename
    7184749