• DocumentCode
    951600
  • Title

    A pseudodistance function and its applications

  • Author

    Zhu, XiangYang ; Ding, Han ; Tso, S.K.

  • Author_Institution
    Sch. of Mech. Eng., Shanghai Jiaotong Univ., China
  • Volume
    20
  • Issue
    2
  • fYear
    2004
  • fDate
    4/1/2004 12:00:00 AM
  • Firstpage
    344
  • Lastpage
    352
  • Abstract
    By using the concept of gauge function, a pseudodistance function is defined for quantifying the clearance or the penetration depth of two convex point sets, depending on whether they separate or intersect. The linear programming formulations (for convex polyhedra) and the nonlinear constrained optimization formulations (for general convex objects) are presented for its calculation. For a pair of convex polyhedra, the pseudodistance function is differentiable almost everywhere with respect to the coordinate vectors of their vertices. Sufficient conditions for the differentiability and the characterization of its derivative are presented. By applying the pseudodistance function to the wrench space, a numerical measure of multifingered grasps is defined, which can be used for qualitative test and quantitative analysis of the force-closure property. On this basis, two algorithms for planning optimal force-closure grasps on general three-dimensional objects are developed. In addition, the application of the pseudodistance function in robot path planning is also demonstrated.
  • Keywords
    collision avoidance; convex programming; dexterous manipulators; linear programming; convex point sets; convex polyhedra; force closure; gauge function; grasp analysis; grasp synthesis; linear programming formulations; nonlinear constrained optimization formulations; path planning; pseudodistance function; Computational complexity; Constraint optimization; Force measurement; Linear programming; Object detection; Path planning; Robot kinematics; Sufficient conditions; Testing; Vectors;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/TRA.2004.824682
  • Filename
    1284420