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Optimization of Reactive Control for Mobile Robots Based on the CRA Using Type-2 Fuzzy Logic

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 667))

Abstract

This paper describes the optimization of a reactive controller system for a mobile autonomous robot using the CRA algorithm to adjust the parameters of each fuzzy controller. A comparison with the results obtained with genetic algorithms is also performed.

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Acknowledgment

We would like to express our gratitude to CONACYT, and Tijuana Institute of Technology for the facilities and resources granted for the development of this research.

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Authors and Affiliations

  1. Tijuana Institute of Technology, Tijuana, Mexico

    David de la O, Oscar Castillo & Jose Soria

Authors
  1. David de la O
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  2. Oscar Castillo
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  3. Jose Soria
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Corresponding author

Correspondence to Oscar Castillo .

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Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, BC, Mexico

    Patricia Melin

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, BC, Mexico

    Oscar Castillo

  3. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

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de la O, D., Castillo, O., Soria, J. (2017). Optimization of Reactive Control for Mobile Robots Based on the CRA Using Type-2 Fuzzy Logic. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Nature-Inspired Design of Hybrid Intelligent Systems. Studies in Computational Intelligence, vol 667. Springer, Cham. https://doi.org/10.1007/978-3-319-47054-2_33

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  • DOI: https://doi.org/10.1007/978-3-319-47054-2_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47053-5

  • Online ISBN: 978-3-319-47054-2

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