• DocumentCode
    299922
  • Title

    Robotic grasping of complex objects without full geometrical knowledge of the shape

  • Author

    Rodrigues, M.A. ; Li, Y.F. ; Lee, M.H. ; Rowland, J.J. ; King, C.

  • Author_Institution
    Dept. of Comput. Sci., Hull Univ., UK
  • Volume
    1
  • fYear
    1995
  • fDate
    21-27 May 1995
  • Firstpage
    737
  • Abstract
    This paper describes a control method for searching suitable gripping points on the outline of generic shapes. It is aimed at robotic grasping tasks where no full geometrical knowledge of the shape is assumed. We first describe the method for a range of 2D generic shapes and then instantiate the method for pick and place operations on known shapes. The algorithms are run on the shape as it appears on the computer screen directly from a vision system. Virtual robotic fingers and associated sensors are then configured and positioned on the screen with three variables being simultaneously controlled. When the control systems reach a steady state, information about virtual finger position and orientation are then used to drive the manipulator
  • Keywords
    computer vision; manipulators; position control; virtual reality; 2D generic shapes; complex object grasping; manipulator; position control; robotic grasping; virtual robotic fingers; Automatic control; Computer science; Computer vision; Control systems; Fingers; Grippers; Machine vision; Partitioning algorithms; Robot sensing systems; Shape control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
  • Conference_Location
    Nagoya
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-1965-6
  • Type

    conf

  • DOI
    10.1109/ROBOT.1995.525371
  • Filename
    525371