• DocumentCode
    3602117
  • Title

    Grasp the Possibilities: Anthropomorphic Grasp Synthesis Based on the Object Dynamic Properties

  • Author

    Lippiello, Vincenzo

  • Author_Institution
    Univ. of Naples Federico II, Naples, Italy
  • Volume
    22
  • Issue
    4
  • fYear
    2015
  • Firstpage
    69
  • Lastpage
    79
  • Abstract
    The synthesis of optimal grasp configurations of heavy objects with anthropomorphic hands benefits from the explicit consideration of the object´s dynamic properties. A new solution for the fast synthesis of anthropomorphic grasps that ensures the reduction of gravitational and inertial effects during the execution of manipulation tasks, as well as an equal distribution of the grasping forces among all fingers, is proposed in this article. The reduction of the computational complexity is achieved by considering only the regions of the object surface favoring the synthesis of minimal inertia grasps. Moreover, the hand and fingertip size, the hand kinematics, the object model uncertainty, and the surface curvature are all employed to further reduce the number of discrete grasping regions selected for the computation of the optimal grasp configurations with respect to a number of grasp quality indices. The effectiveness of the proposed method has been demonstrated with several case studies.
  • Keywords
    computational complexity; grippers; manipulator kinematics; anthropomorphic grasp synthesis; anthropomorphic hands; computational complexity; discrete grasping regions; fingertip size; grasp quality indices; grasping forces; hand kinematics; heavy objects; inertia grasps; inertial effects; manipulation tasks; object dynamic properties; object model uncertainty; object surface; optimal grasp configurations; surface curvature; Anthropomorphism; Grasping; Robot kinematics; Solid modeling; Thumb;
  • fLanguage
    English
  • Journal_Title
    Robotics Automation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9932
  • Type

    jour

  • DOI
    10.1109/MRA.2015.2394711
  • Filename
    7101242