• DocumentCode
    250660
  • Title

    Picking up soft 3D objects with two fingers

  • Author

    Huan Lin ; Feng Guo ; Feifei Wang ; Yan-Bin Jia

  • Author_Institution
    Dept. of Comput. Sci., Iowa State Univ., Ames, IA, USA
  • fYear
    2014
  • fDate
    May 31 2014-June 7 2014
  • Firstpage
    3656
  • Lastpage
    3661
  • Abstract
    This paper describes a simple strategy for a robot hand to grasp and lift a deformable 3D object resting on a table. Inspired by the human hand grasping, the strategy employs two rigid hemispherical fingers to first squeeze the object until a secure grip is achieved under contact friction, and then translate vertically upward. During the squeeze, a lift test is repeatedly conducted to determine if the maximum hypothetical liftable weight of the object reaches its real weight. Actual lifting follows when the test is passed. The object´s deformation and configuration of contact with the fingers and the plane are tracked using the finite element method (FEM) in an event-driven manner, based on varying contact displacements induced by the finger movements. The gravitational force acting on the object is accounted for. Slips inside the contact regions are determined from solving quadratic systems. Experiment has been conducted to demonstrate the efficiency and accuracy for this sensorless grasping approach.
  • Keywords
    deformation; finite element analysis; manipulators; FEM; contact displacements; contact friction; contact regions; deformable 3D object; finger movements; finger tracking; finite element method; gravitational force; human hand grasping; lift test; maximum hypothetical liftable weight; picking up soft 3D objects; plane tracking; quadratic systems; rigid hemispherical fingers; robot hand; sensorless grasping approach; Friction; Grasping; Gravity; Solids; Three-dimensional displays; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2014 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/ICRA.2014.6907388
  • Filename
    6907388