Results of a sensing system for an autonomous mobile robot based on the paraconsistent artificial neural network | Zendy

Cláudio Rodrigo Torres | Zendy; Germano LambertTorres | Zendy; João Inácio da Silva Filho | Zendy; Helga Gonzaga Martins | Zendy

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Results of a sensing system for an autonomous mobile robot based on the paraconsistent artificial neural network

Author(s) -

Cláudio Rodrigo Torres,

Germano LambertTorres,

João Inácio da Silva Filho,

Helga Gonzaga Martins

Publication year - 2011

Publication title -

international journal of reasoning-based intelligent systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.13

H-Index - 10

eISSN - 1755-0564

pISSN - 1755-0556

DOI - 10.1504/ijris.2011.060021

Subject(s) - artificial neural network , artificial intelligence , computer science , mobile robot , obstacle , robot , geography , archaeology

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.

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