• DocumentCode
    3232814
  • Title

    Neuroplanners for hand/eye coordination

  • Author

    Graf, Daryl H. ; LaLonde, Wilf R.

  • Author_Institution
    Sch. of Comput. Sci., Carleton Univ., Ottawa, Ont., Canada
  • fYear
    1989
  • fDate
    0-0 1989
  • Firstpage
    543
  • Abstract
    The authors generalize a previously described architecture, which they now call a neuroplanner, and apply it to an extension of the problem it was initially designed to solve-the target-directed control of a robot arm in an obstacle-cluttered workspace. By target directed they mean that the arm can position its end-effector at the point of gaze specified by a pair of stereo targetting cameras. Hence, the system is able to ´touch the point targetted by its eyes. The new design extends the targetting system to an articulated camera platform-the equivalent of the human eye-head-neck system. This permits the robot to solve the inverse problem: given the current configuration of the arm, the system is able to reorient the camera platform to focus on the end-effector. Because of obstacles, the camera platform will generally have to peer around obstacles that block its view. Hence the new system is able to move the eye-head-neck system to see the hand.<>
  • Keywords
    industrial robots; neural nets; position control; articulated camera platform; end-effector; eye-head-neck system; gaze; hand/eye coordination; inverse problem; neuroplanner; obstacle-cluttered workspace; robot arm; stereo targetting cameras; target-directed control; Neural networks; Position control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1989. IJCNN., International Joint Conference on
  • Conference_Location
    Washington, DC, USA
  • Type

    conf

  • DOI
    10.1109/IJCNN.1989.118296
  • Filename
    118296