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A Review on Type-2 Fuzzy Systems in Robotics and Prospects for Type-3 Fuzzy

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Applied Mathematics and Computational Intelligence (ICAMCI 2020)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 413))

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Abstract

In this article, we are offering a review of type-2 fuzzy systems and their current applications in robotics. Although, significant research work has been put forward in to showing that fuzzy systems have very good capabilities for co** with uncertainty in control applications, there is still room for improvement and this is why the interest of doing this research work. Nowadays, fuzzy logic systems are used frequently to manage uncertainty because the obtained results have been superior to traditional methods. However, when the uncertainty on the problems is high fuzzy logic is not able of manage adequately the uncertainty. For that reason, the authors are utilizing type-2 fuzzy logic to obtain better results on the control problems. In this article, we have made a review over the papers using type-1 and type-2 fuzzy systems, specifically when they are utilized in robotics. The analysis was made with several searches, for example, using nature optimization methods with type-2 fuzzy in robotics and also without the utilization of optimization methods. The collection of papers was obtained from Web of Science (WoS) and the visual tool ‘connected papers’. We also briefly discuss the prospects for the utilization in the future of type-3 fuzzy systems in robotics.

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Authors and Affiliations

  1. Tijuana Institute of Technology, TecNM, Calzada Tecnologico S/N, 22450, Tijuana, Mexico

    Fevrier Valdez, Oscar Castillo & Patricia Melin

Authors
  1. Fevrier Valdez
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  2. Oscar Castillo
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  3. Patricia Melin
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Corresponding author

Correspondence to Oscar Castillo .

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Editors and Affiliations

  1. Research Chair of Graduate Studies, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  2. Department of Mathematics, National Institute of Technology Agartala, Agartala, Tripura, India

    Uttam Kumar Bera

  3. Department of Applied Sciences, Haldia Institute of Technology, Haldia, West Bengal, India

    Dipak Kumar Jana

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Valdez, F., Castillo, O., Melin, P. (2023). A Review on Type-2 Fuzzy Systems in Robotics and Prospects for Type-3 Fuzzy. In: Castillo, O., Bera, U.K., Jana, D.K. (eds) Applied Mathematics and Computational Intelligence. ICAMCI 2020. Springer Proceedings in Mathematics & Statistics, vol 413. Springer, Singapore. https://doi.org/10.1007/978-981-19-8194-4_17

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