• DocumentCode
    2347534
  • Title

    Positioning and recognizing planar parts using a two-fingered gripper with four pins

  • Author

    Wen-Han Qian ; Ferrari, C. ; Pagello, E.

  • Author_Institution
    Res. Inst. of Robotics, Shanghai Jiaotong Univ., China
  • fYear
    1997
  • fDate
    20-20 June 1997
  • Firstpage
    86
  • Abstract
    Summary form only given as follows. Errors during part mating are the main failures source in automatic assembly task. This paper presents a gripper, which can position and sort polygonal objects by one grasp with the help of sensors. It is simple in structure with two parallel jaws equipped with two pins. Each pin ends with a rolling bearing in order to reduce the friction component along the jaw. This gripper removes all three uncertainties of a planar part. It is very versatile and rational in design, with a high contact strength. Acquiring more features, it is more powerful in part recognition when equipped with simple sensors. The exact part pose in the gripper can be computed, by a single grasp, using simple sinusoidal functions. The gripper can construct grasps with form-closure and force-closure. Orientation, squeeze and projection functions have been introduced and used for recognizing planar parts and their pose.
  • Keywords
    assembling; industrial manipulators; pattern recognition; automatic assembly; force-closure; form-closure; orientation; parallel jaws; part positioning; part recognition; planar parts; polygonal objects; projection functions; rolling bearing; sinusoidal functions; squeeze; two-fingered gripper; Assembly; Fixtures; Grippers; Informatics; Pins; Reduced instruction set computing; Robot sensing systems; Rolling bearings; Sorting; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics '97. Final Program and Abstracts., IEEE/ASME International Conference on
  • Conference_Location
    Tokyo, Japan
  • Print_ISBN
    0-7803-4080-9
  • Type

    conf

  • DOI
    10.1109/AIM.1997.652952
  • Filename
    652952