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

N.R. Ball

Mathematics and Computers in Simulation (MATCOM), 1996, vol. 41, issue 3, 285-296

Abstract: 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.

Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:41:y:1996:i:3:p:285-296

DOI: 10.1016/0378-4754(95)00078-X

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