Coping with complexity in the navigation of an autonomous mobile robot

David R. Dodds

doi:10.1117/12.48096

1 March 1991 Coping with complexity in the navigation of an autonomous mobile robot

David R. Dodds

Proceedings Volume 1388, Mobile Robots V; (1991) https://doi.org/10.1117/12.48096
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

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.

Citation Download Citation

David R. Dodds "Coping with complexity in the navigation of an autonomous mobile robot", Proc. SPIE 1388, Mobile Robots V, (1 March 1991); https://doi.org/10.1117/12.48096

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