• DocumentCode
    2679868
  • Title

    Behavior planning of an unmanned ground vehicle with actively articulated suspension to negotiate geometric obstacles

  • Author

    Kyeong Bin Lim ; Park, Sukhoon ; Kim, Suengwoo ; Jeong, Jae Muk ; Yoon, Yong-San

  • Author_Institution
    Mech. Eng. Dept., KAIST, Daejeon, South Korea
  • fYear
    2009
  • fDate
    10-15 Oct. 2009
  • Firstpage
    821
  • Lastpage
    826
  • Abstract
    The behavior control method was usually adapted for controlling the suspension configuration which determines the traversability of the UGV with actively articulated suspension. In this paper, we proposed a method of configuration planning of the suspension without any detail geometric data of terrain. The terrain was estimated by the traces of each wheel and the behavior plans for the desired upper level behavior were set up against the constraints of the terrain. Also, an optimal suspension configuration was calculated based on the quasi-static stability and power consumption, and plans for the suspension behavior were made. Validity of the proposed method was checked by simulation using some off-the-shelf programs, and showed that the behavior planning without geometric features of terrain and simplification of the behavior planning for obstacle negotiation were possible.
  • Keywords
    collision avoidance; mobile robots; optimal control; remotely operated vehicles; stability; actively articulated suspension; behavior control method; behavior planning; configuration planning; geometric obstacles; obstacle negotiation; off-the-shelf programs; optimal suspension configuration; power consumption; quasi-static stability; suspension configuration control; unmanned ground vehicle; Genetic programming; Geometry; Intelligent robots; Kinematics; Land vehicles; Leg; Stability; USA Councils; Vehicle driving; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-3803-7
  • Electronic_ISBN
    978-1-4244-3804-4
  • Type

    conf

  • DOI
    10.1109/IROS.2009.5354137
  • Filename
    5354137