• DocumentCode
    481610
  • Title

    Task dependent human-like grasping

  • Author

    Ozyer, Baris ; Oztop, Erhan

  • Author_Institution
    ATR Comput. Neurosci. Labs., Seika
  • fYear
    2008
  • fDate
    1-3 Dec. 2008
  • Firstpage
    227
  • Lastpage
    232
  • Abstract
    In this study we report our preliminary work on investigating task dependent grasping in humans and realization of this skill on a robotic platform. For human data acquisition, subjects were asked to reach and grasp two objects (a claw-hammer and a pen) positioned in four different orientations. The subjects were primed by specification of the task to be performed with the objects after the grasp. For the hammer, the task could be one of hammering or prying a nail, or transporting the hammer; for the pen the task could be transporting or using the pen for drawing a circle. The human movements were recorded using a motion capture system and analyzed off-line. The results indicate that humans deploy different grasps for objects depending on the task specification, even though the orientation and location of the objects are kept the same. The human data was also used to derive robot trajectories that were used to implement task depended grasping on a 7-DOF robotic arm (Mitsubishi, PA-10) and a 16-DOF robotic hand (Gifu Hand, Dainichi Co. Ltd.).
  • Keywords
    grippers; motion control; position control; robot dynamics; robot kinematics; robots; 16-DOF robotic hand; 7-DOF robotic arm; data acquisition; hammering; motion capture system; robot trajectory; robotic platform; task depended grasping; task dependent human-like grasping; task specification; Computational geometry; Data acquisition; Fingers; Grasping; Humanoid robots; Humans; Laboratories; Motion analysis; Nails; Shape; human motion transfer; task-dependent grasping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Humanoid Robots, 2008. Humanoids 2008. 8th IEEE-RAS International Conference on
  • Conference_Location
    Daejeon
  • Print_ISBN
    978-1-4244-2821-2
  • Electronic_ISBN
    978-1-4244-2822-9
  • Type

    conf

  • DOI
    10.1109/ICHR.2008.4755949
  • Filename
    4755949