• DocumentCode
    1842138
  • Title

    Pose from pushing

  • Author

    Jia, Yan-Bin ; Erdmann, Michael

  • Author_Institution
    Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    1
  • fYear
    1996
  • fDate
    22-28 Apr 1996
  • Firstpage
    165
  • Abstract
    In the absence of vision, grasping an object often relies on tactile feedback from the fingertips. Before force closure is formed, where on the object a fingertip touches can usually be felt from the motion of contact on the fingertip during a small amount of pushing. In this paper the authors investigate the first stage of such “blind” grasping. More specifically the authors study the problem of determining the pose of a known planar object by pushing. Assuming sliding friction in the plane, a dynamic analysis of pushing results in a numerical algorithm that compares the object pose from three instantaneous contact positions on a fingertip. Simulations and experiments (with an Adept robot) have been conducted to demonstrate the sensing feasibility. Inspired by the way a human hand grasps, this work can be viewed as a primitive step in exploring interactive sensing in grasping tasks
  • Keywords
    differential equations; digital simulation; manipulators; sliding friction; tactile sensors; Adept robot; blind grasping; dynamic analysis; fingertip; grasping; instantaneous contact positions; interactive sensing; planar object; pose from pushing; sliding friction; tactile feedback; Computational modeling; Computer science; Feedback; Fingers; Friction; Grasping; Motion analysis; Robot vision systems; Robotic assembly; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1996. Proceedings., 1996 IEEE International Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-2988-0
  • Type

    conf

  • DOI
    10.1109/ROBOT.1996.503590
  • Filename
    503590