✦ LIBER ✦

Application of a neural network based classifier system to AGV obstacle avoidance

✍ Scribed by N.R. Ball

Publisher: Elsevier Science
Year: 1996
Tongue: English
Weight: 781 KB
Volume: 41
Category: Article
ISSN: 0378-4754
DOI: 10.1016/0378-4754(95)00078-x

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✦ Synopsis

This paper describes the application of a neural network based classifier system to the control of a simulated autonomous guided vehicle (AGV) in a simple obstacle avoidance task. A mechanism for concurrent exploration and exploitation of a maze environment based on Kohonen feature maps is proposed and its implementation in a hybrid learning system is described. Two variations of the underlying connectionist path structure are presented and their performance analyzed in a simple simulated maze environment.

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