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Proceedings Paper

Coping with complexity in the navigation of an autonomous mobile robot
Author(s): David R. Dodds
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Paper Abstract

This paper discusses the integrated use of dynamic systems theory neural networks and evolutionary programming methods as a means of coping with complexity in automatic plan generation. Plan elements representing actions are mapped into phase-space and are examined for stability by searching for and identifying any " attractors. " A knowledge-based system for doing this is described. As a means of coping with unexpected environments modifications of plans are made by the planning system using an evolutionary programming method coupled with a neural network approach.

Paper Details

Date Published: 1 March 1991
PDF: 5 pages
Proc. SPIE 1388, Mobile Robots V, (1 March 1991); doi: 10.1117/12.48096
Show Author Affiliations
David R. Dodds, Consultant (Canada)


Published in SPIE Proceedings Vol. 1388:
Mobile Robots V
Wendell H. Chun; William J. Wolfe, Editor(s)

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