1 March 1991 Coping with complexity in the navigation of an autonomous mobile robot
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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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David R. Dodds, David R. Dodds, } "Coping with complexity in the navigation of an autonomous mobile robot", Proc. SPIE 1388, Mobile Robots V, (1 March 1991); doi: 10.1117/12.48096; https://doi.org/10.1117/12.48096
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