• DocumentCode
    3176503
  • Title

    Grasping Force Optimization for Whole Hand Grasp

  • Author

    Xu, Jijie ; Lou, Yunjiang ; Li, Zexiang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon
  • fYear
    2006
  • fDate
    Oct. 2006
  • Firstpage
    1582
  • Lastpage
    1587
  • Abstract
    In tasks of grasping and manipulation, the hand sometimes uses not only fingertips but also fingers´ inner links and the palm to achieve more robust grasp. This kind of grasp is called whole hand grasp, or power grasp. One property of whole hand grasp is that the hand may not be able to generate grasping forces in any directions, so previous fingertip grasping analysis is no longer suitable for whole hand grasp. In this paper, concepts of active force and passive force are introduced. With these concepts, the contact force space is decomposed into four orthogonal subspaces. Considering the roles of both active force and passive force, a new cost index is proposed for the whole hand grasping force optimization, which is then reformulated into a convex optimization problem involving LMIs. Finally, numerical example and simulation results verify the validity and performance of our formulation of the problem with that new proposed cost index
  • Keywords
    force control; linear matrix inequalities; manipulators; LMI; active force; contact force space; fingertip grasping analysis; grasping force optimization; passive force; power grasp; whole hand grasp; Constraint optimization; Cost function; Force control; Friction; Grasping; Intelligent robots; Kinematics; Numerical simulation; Robustness; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    1-4244-0259-X
  • Electronic_ISBN
    1-4244-0259-X
  • Type

    conf

  • DOI
    10.1109/IROS.2006.282045
  • Filename
    4058599