A sensing system for an autonomous mobile robot based on the paraconsistent artificial neural network

Authors:
Claudio Rodrigo Torres;Jair Minoro Abe;Germano Lambert-Torres;João Inácio Da Silva Filho;Helga Gonzaga Martins
Affiliations:
Artificial Intelligence Application Group, GAIA, Federal University of Itajubá, Itajubá, MG and Universidade Metodista de São Paulo, SP;Paulista University, São Paulo, SP;Artificial Intelligence Application Group, GAIA, Federal University of Itajubá, Itajubá, MG;Universidade Santa Cecília, Santos, SP;Artificial Intelligence Application Group, GAIA, Federal University of Itajubá, Itajubá, MG
Venue:
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III
Year:
2010

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Computer

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Abstract

This paper shows 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 position where there is an obstacle. The reached results have been satisfactory.