• DocumentCode
    3475382
  • Title

    Behavior-based AI techniques for vehicle control

  • Author

    Gomi, Takashi ; Laurence, Jean-Christophe

  • Author_Institution
    Applied AI Systems, Inc., Kanata, Ont., Canada
  • fYear
    1993
  • fDate
    12-15 Oct. 1993
  • Firstpage
    555
  • Lastpage
    558
  • Abstract
    In behavior-based artificial intelligence (AI), intelligence is realized as an emergent process which arises from interactions between otherwise "unintelligent" simple behaviors of agents and between these agents and their environment. A set of algorithms which uses Subsumption Architecture (SA) for controlling vehicles operating in close vicinity has been developed. SA is a dominant behavior-based AI technique. The algorithms collectively generate desirable manoeuver capabilities for vehicles which must travel through a dynamic interactive environment. A successful application of the approach to a small-scale but fully situated and embodied vehicle control problem using scaled down mobile robots is described.
  • Keywords
    artificial intelligence; Subsumption Architecture; agents; behavior-based artificial intelligence; dynamic interactive environment; manoeuver capabilities; mobile robots; vehicle control; Artificial intelligence; Collision avoidance; Control systems; Intelligent agent; Intelligent control; Intelligent vehicles; Mobile robots; Remotely operated vehicles; Signal generators; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Navigation and Information Systems Conference, 1993., Proceedings of the IEEE-IEE
  • Conference_Location
    Ottawa, Ontario, Canada
  • Print_ISBN
    0-7803-1235-X
  • Type

    conf

  • DOI
    10.1109/VNIS.1993.585694
  • Filename
    585694