Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
Behavioral Learning of a Mobile Robot using a Fuzzy Spiking Neural Network
Naoyuki KUBOTAHironobu SASAKI
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2006 Volume 19 Issue 3 Pages 87-95

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Abstract

Recently, embodied cognition for robotics has been discussed, and various types of artificial neural networks are applied for behavior learning of robots in unknown and dynamic environments. In this paper, we propose behavioral learning based on a fuzzy spiking neural network to realize high adaptability of a mobile robot. However, the behavioral leaning capability of the robot depends strongly on the network structure. Therefore, we apply a genetic algorithm to acquire the network structure suitable to the changing environment. Finally, we discuss the effectiveness of the proposed method through experimental results on behavioral learning for collision avoidance and target tracing in a dynamic environment.

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