Share Email Print
cover

Proceedings Paper

Coping with complexity in the navigation of an autonomous mobile robot
Author(s): David R. Dodds
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top