Title :
Behavior-based AI techniques for vehicle control
Author :
Gomi, Takashi ; Laurence, Jean-Christophe
Author_Institution :
Applied AI Systems, Inc., Kanata, Ont., Canada
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;
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
DOI :
10.1109/VNIS.1993.585694