Title: A vision-based approach for intelligent robot navigation

Authors: Genci Capi

Addresses: Faculty of Engineering, Department of Electrical and Electronic Systems Engineering, University of Toyama, Gofuku Campus, 3190 Gofuku, Toyama 930-8555, Japan

Abstract: In this paper, we present an evolutionary approach for vision-based robot navigation in human environments. In our method, we convert the captured image in a binary one, which after the partition is used as the input of the neural controller. The neural control system, which maps the visual information to motor commands, is evolved online using real robots. We show that evolved neural networks performed well in indoor human environments. Furthermore, we compare the performance of neural controllers with an algorithmic vision-based control method.

Keywords: robot navigation; robot vision; neural networks; evolutionary algorithms; intelligent navigation; intelligent robots; human environments; indoor environments; robot control.

DOI: 10.1504/IJISTA.2010.034315

International Journal of Intelligent Systems Technologies and Applications, 2010 Vol.9 No.2, pp.97 - 107

Published online: 31 Jul 2010 *

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