• DocumentCode
    1864935
  • Title

    Fast grasp planning for hand/arm systems based on convex model

  • Author

    Harada, Kensuke ; KANEKO, Kenji ; Kanehiro, Fumio

  • Author_Institution
    Intell. Syst. Res. Inst., Humanoid Res. Group, Nat. Inst. of Adv. Ind. Sci. & Technol. (AIST), Tsukuba
  • fYear
    2008
  • fDate
    19-23 May 2008
  • Firstpage
    1162
  • Lastpage
    1168
  • Abstract
    This paper discusses the grasp planning of a multifingered hand attached at the tip of a robotic arm. By using the convex models and the new approximation method of the friction cone, our proposed algorithm can calculate the grasping motion within the reasonable time. For each grasping style used in this research, we define the grasping rectangular convex (GRC). We also define the object convex polygon (OCP) for the grasped object. By considering the geometrical relashionship among these convex models, we determine several parameters needed to define the final grasping configuration. To determine the contact point position satisfying the force closure, we use two approximation models of the friction cone. To save the calculation time, the rough approximation by using the ellipsoid is mainly used to check the force closure. Additionally, approximation by using the convex polyhedral cone is used at the final stage of the planning. The effectiveness of the proposed method is confirmed by some numerical examples.
  • Keywords
    approximation theory; dexterous manipulators; humanoid robots; approximation method; convex model; convex polyhedral cone; friction cone; grasp planning; grasping rectangular convex; hand-arm systems; object convex polygon; Ellipsoids; Fingers; Friction; Grasping; Humanoid robots; Intelligent robots; Motion planning; Position measurement; Robotics and automation; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
  • Conference_Location
    Pasadena, CA
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-1646-2
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2008.4543361
  • Filename
    4543361