• DocumentCode
    1795102
  • Title

    Research on trajectory-planning based on genetic algorithms for SCARA robot

  • Author

    Jue Xiong ; Xiaodong Xu ; Xiaobao Zhao ; Zhongcai Pei

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    1321
  • Lastpage
    1324
  • Abstract
    According to the work features and requirements of SCARA robot, a motion trajectory is planed following the request of speed and acceleration at the starting point and termination point. The planning uses the joint spatial method based on genetic-algorithms. The objective function is the moving time and mechanical impact. The target is a high-profile on the joint angles.
  • Keywords
    genetic algorithms; manipulators; motion control; path planning; trajectory control; SCARA robot; genetic algorithm; motion trajectory planning; objective function; Acceleration; Genetic algorithms; Manipulators; Planning; Robot kinematics; Trajectory; SCARA; genetic algorithm; high-order curve; trajectory-planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007390
  • Filename
    7007390