• DocumentCode
    2756866
  • Title

    Planning Optimal Force-Closure Grasps for Curved Objects by Genetic Algorithm

  • Author

    Phoka, Thanathorn ; Niparnan, Nattee ; Sudsang, Attawith

  • Author_Institution
    Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok
  • fYear
    2006
  • fDate
    Dec. 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper describes the use of genetic algorithm to solve the problem of planning optimal force-closure grasps on 2D and 3D objects. The proposed approach searches for optimal grasps from parametric curves of a 2D object or parametric surfaces of a 3D object. The search method is based on the concept of Q distance which can guide the search direction to better solutions. On this metric, genetic algorithm can exploit the characteristic of Q distance to find optimal grasps by directly using the computation of Q distance as the fitness function. This approach is applied to plan optimal force-closure grasps on 2D and 3D curved objects with three and four contact points respectively. Preliminary results are also presented
  • Keywords
    computational geometry; genetic algorithms; path planning; 2D curved object; 3D curved object; Q distance; genetic algorithm; optimal force-closure grasp; parametric curve; Fingers; Genetic algorithms; Genetic engineering; Humanoid robots; Linear programming; Position measurement; Resists; Search methods; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Automation and Mechatronics, 2006 IEEE Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    1-4244-0024-4
  • Electronic_ISBN
    1-4244-0025-2
  • Type

    conf

  • DOI
    10.1109/RAMECH.2006.252683
  • Filename
    4018799