Title: Results of a sensing system for an autonomous mobile robot based on the paraconsistent artificial neural network
Authors: Cláudio Rodrigo Torres; Germano Lambert-Torres; João Inácio Da Silva Filho; Helga Gonzaga Martins
Addresses: Faculdade de Exatas e Tecnologia – FACET, Universidade Metodista de São Paulo, São Bernardo do Campo, SP, Brazil. ' Artificial Intelligence Application Group – GAIA, Federal University of Itajubá, Av. BPS 1303 – 37.500-903, Itajubá, MG, Brazil. ' Department of Electric Engineering, Santa Cecilia University – UNISANTA, Oswaldo Cruz street, 266 – Santos City, SP, Brazil. ' Artificial Intelligence Application Group – GAIA, Federal University of Itajubá, Av. BPS 1303 – 37.500-903, Itajubá, MG, Brazil
Abstract: This paper shows the results of a sensing system for an autonomous mobile robot. The sensing system is based on the paraconsistent neural network. The type of artificial neural network used in this work is based on the paraconsistent evidential logic (Eτ). The objective of the sensing system is to inform the other robot components the obstacle position. The reached results have been satisfactory.
Keywords: paraconsistent ANNs; artificial neural networks; paraconsistent logic; autonomous robots; mobile robots; sensing systems; robot sensors; obstacle localisation; paraconsistent evidential logic.
International Journal of Reasoning-based Intelligent Systems, 2011 Vol.3 No.2, pp.108 - 114
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 25 Mar 2014 *