• DocumentCode
    2657999
  • Title

    Endpoint position control using biological concepts

  • Author

    Smith, Kelly Ann ; Littman, Michael G.

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng., Princeton Univ., NJ, USA
  • fYear
    1993
  • fDate
    25-27 Aug 1993
  • Firstpage
    255
  • Lastpage
    260
  • Abstract
    A biologically inspired algorithm is refined for position control of a multilink robotic manipulator. In this approach, changes in joint angles are computed by a method of successive forward approximation in a manner that is naturally parallel and very simple. Improvements to the algorithm provide nearly uniform convergence for all motions regardless of direction and location in the workspace. Neural networks may be used to further improve trajectory control
  • Keywords
    approximation theory; convergence of numerical methods; manipulators; position control; biological concepts; biologically inspired algorithm; endpoint position control; multilink robotic manipulator; nearly uniform convergence; successive forward approximation; trajectory control; Aerospace engineering; Biology computing; Concurrent computing; Convergence; Delay; Humans; Manipulators; Neural networks; Position control; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 1993., Proceedings of the 1993 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • ISSN
    2158-9860
  • Print_ISBN
    0-7803-1206-6
  • Type

    conf

  • DOI
    10.1109/ISIC.1993.397704
  • Filename
    397704