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Proceedings Paper

Intelligence And Heuristics For Autonomous Real-Time Navigation.
Author(s): Bruno Delaunoit; Rodolphe Alimenti; Marc Bogaert; Pierre Gaspart
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Paper Abstract

Autonomous real-time navigation system can be organized into four hierarchical layers, which are presented in this paper. Path planning and kinematic path generation, two A.I.-based processes, are described with emphasis on their heuristics. The software implementation allows real-time obstacle avoidance, whose results are discussed.

Paper Details

Date Published: 21 March 1989
PDF: 11 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969326
Show Author Affiliations
Bruno Delaunoit, Belgian Scientific & Technical Research Center of the Metalworking Industry. (Belgium)
Rodolphe Alimenti, Belgian Scientific & Technical Research Center of the Metalworking Industry (Belgium)
Marc Bogaert, Belgian Scientific & Technical Research Center of the Metalworking Industry. (Belgium)
Pierre Gaspart, Belgian Scientific & Technical Research Center of the Metalworking Industry. (Belgium)


Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)

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