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A Sensing System for an Autonomous Mobile Robot Based on the Paraconsistent Artificial Neural Network

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Knowledge-Based and Intelligent Information and Engineering Systems (KES 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6278))

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.

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References

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Author information

Authors and Affiliations

  1. Artificial Intelligence Application Group, GAIA, Federal University of Itajubá, Av. BPS 1303, 37.500-903, Itajubá, MG

    Claudio Rodrigo Torres, Germano Lambert-Torres & Helga Gonzaga Martins

  2. UNIP. Dr. Bacelar, 1.212, Paulista University, São Paulo, SP, CEP 04026-002

    Jair Minoro Abe

  3. UNISANTA, Universidade Santa Cecília, Santos, SP

    João Inácio Da Silva Filho

  4. Universidade Metodista de São Paulo, São Bernardo do Campo, SP

    Claudio Rodrigo Torres

Authors
  1. Claudio Rodrigo Torres
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  2. Jair Minoro Abe
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  3. Germano Lambert-Torres
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  4. João Inácio Da Silva Filho
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  5. Helga Gonzaga Martins
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Editor information

Editors and Affiliations

  1. School of Engineering, Cardiff University, The Parade, CF24 3AA, Cardiff, UK

    Rossitza Setchi

  2. Dept. of Computer Science and Software Engineering, University of Portsmouth, BUckingham Building, Lion Terrace, PO1 3HE, Portsmouth, UK

    Ivan Jordanov

  3. KES International, 145-157 St. John Street, EC1V 4PY, London, UK

    Robert J. Howlett

  4. School of Electrical and Information Engineering, University of South Australia, Adelaide, Mawson Lakes Campus, 5095, SA, Australia

    Lakhmi C. Jain

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© 2010 Springer-Verlag Berlin Heidelberg

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Torres, C.R., Abe, J.M., Lambert-Torres, G., Da Silva Filho, J.I., Martins, H.G. (2010). A Sensing System for an Autonomous Mobile Robot Based on the Paraconsistent Artificial Neural Network. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15393-8_18

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  • DOI: https://doi.org/10.1007/978-3-642-15393-8_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15392-1

  • Online ISBN: 978-3-642-15393-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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