• DocumentCode
    3474698
  • Title

    A New Solution for Inverse Kinematics of 7-DOF Manipulator Based on Genetic Algorithm

  • Author

    Yang, Yugui ; Peng, Guangzheng ; Wang, Yifeng ; Zhang, Hongli

  • Author_Institution
    Beijing Inst. of Technol., Beijing
  • fYear
    2007
  • fDate
    18-21 Aug. 2007
  • Firstpage
    1947
  • Lastpage
    1951
  • Abstract
    For dealing with the complexity in gaining solution for inverse kinematics of 7-DOF manipulator, a new approach based on GA (genetic algorithm) is proposed. To solve the problem of multi-solution caused by redundancy, a rule for a joint of "best compliance" based on weighted least square method is supposed at the beginning of this paper, which makes the multi-solution a mono-one with application of genetic algorithm to search for all global optimum solutions. Satisfactory result has been achieved. Simulation shows that the method proposed in the paper is feasible, provides a new approach for inverse kinematics solution of manipulator of any redundancy.
  • Keywords
    genetic algorithms; manipulator kinematics; redundant manipulators; 7-degree of freedom manipulator; genetic algorithm; global optimum solutions; inverse kinematics; weighted least square method; Automation; Equations; Genetic algorithms; Humanoid robots; Kinematics; Least squares methods; Logistics; Manipulator dynamics; Matrices; Partial response channels; GA; Inverse kinematics; Joint compliance; Redundant manipulator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2007 IEEE International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-1531-1
  • Type

    conf

  • DOI
    10.1109/ICAL.2007.4338892
  • Filename
    4338892