• DocumentCode
    2194058
  • Title

    Planning Optimal Force-Closure Grasps for Curved Objects

  • Author

    Phoka, Thanathorn ; Niparnan, Nattee ; Sudsang, Attawith

  • Author_Institution
    Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok
  • fYear
    2006
  • fDate
    17-20 Dec. 2006
  • Firstpage
    721
  • Lastpage
    726
  • Abstract
    This paper investigates the use of various optimization algorithms for solving the problem of planning optimal three-finger force-closure grasps on curved objects. The optimization aims at minimizing the Q distance function which had been shown in the literature to directly reflect quality of grasps and possess function´s smoothness suitable for optimization processes. Four optimization methods including genetic algorithm, evolution strategy, conjugate gradient method and downhill simplex method are investigated. Experimental results are presented along with efficiency comparison of the selected methods.
  • Keywords
    conjugate gradient methods; dexterous manipulators; genetic algorithms; minimisation; planning; Q distance function minimisation; conjugate gradient method; curved objects; downhill simplex method; evolution strategy; genetic algorithm; optimal three-finger force-closure grasp planning; optimization algorithms; Biomimetics; Fingers; Genetic algorithms; Gradient methods; Humanoid robots; Linearity; Optimization methods; Resists; Search methods; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics, 2006. ROBIO '06. IEEE International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    1-4244-0570-X
  • Electronic_ISBN
    1-4244-0571-8
  • Type

    conf

  • DOI
    10.1109/ROBIO.2006.340295
  • Filename
    4141954