• DocumentCode
    2472832
  • Title

    Path planning for tractor-trailer mobile robot system based on equivalent size

  • Author

    Liu, Zuojun ; Lu, Qian ; Yang, Peng ; Chen, Lingling

  • Author_Institution
    Sch. of Electr. Eng., Hebei Univ. of Technol., Tianjin
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    5744
  • Lastpage
    5749
  • Abstract
    Tractor-trailer wheeled mobile robot is a complicated system, which is composed of a tractor and multiple trailers. As the path width changes with the different turning angles, as its path planning is complicated accordingly. On the base of presenting the kinematics equations of the tractor-trailer mobile robot, the maximum path width is deduced when the robot runs at the maximum turning angle. And this path width is named as equivalent size. Then genetic algorithmic is applied for the path planning method of tractor-trailer mobile robot. Firstly, the barriers are enlarged step by step with equivalent size. Then the vicinities around the barriers and the block neck zone are analyzed and labeled. The fitness function is defined according to both the path length and path width. Finally, the genetic algorithm is adopted to solve the whole path planning problem.
  • Keywords
    agricultural machinery; genetic algorithms; mobile robots; path planning; robot kinematics; equivalent size; fitness function; genetic algorithm; kinematics equation; path planning; tractor-trailer mobile robot system; Equations; Genetic algorithms; Intelligent control; Kinematics; Mobile robots; Neck; Path planning; Robotics and automation; Turning; equivalent size; fuzzy; genetic algorithm; path planning; tractor-trailer mobile robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4592804
  • Filename
    4592804