• DocumentCode
    3104782
  • Title

    Planning force-closure grasps on 3-D objects

  • Author

    Zhu, XiangYang ; Ding, Han

  • Author_Institution
    Robotics Inst., Shanghai Jiao Tong Univ., China
  • Volume
    2
  • fYear
    2004
  • fDate
    April 26-May 1, 2004
  • Firstpage
    1258
  • Abstract
    Computation of grasps with form/force-closure is one of the fundamental problems in the study of multifingered grasping and dexterous manipulation. Based on the geometric condition of the closure property, this paper presents a numerical test to quantify how far a grasp is from losing form/force-closure. With the polyhedral approximation of the friction cone, the proposed numerical test can be formulated as a single linear program. An iterative algorithm for computing optimal force-closure grasps, which is implemented by minimizing the proposed numerical test in the grasp configuration space, is also developed. The algorithm is computationally efficient and generally applicable. It can be used for computing form/force-closure grasps on 3D objects with curved surfaces, and with any number of contact points. Several simulation examples are given to show the effectiveness and computational efficiency of the proposed algorithm.
  • Keywords
    computational geometry; dexterous manipulators; iterative methods; linear programming; path planning; 3Dobjects; computational geometry; dexterous manipulation; force closure grasp planning; grasp configuration space; iterative algorithm; linear programming; multifingered grasping; optimal force closure grasps; polyhedral approximation; Algorithm design and analysis; Computational efficiency; Computational modeling; Erbium; Fingers; Friction; Grasping; Iterative algorithms; Robots; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-8232-3
  • Type

    conf

  • DOI
    10.1109/ROBOT.2004.1307997
  • Filename
    1307997