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International Conference on Intelligent Computing

ICIC 2017: Intelligent Computing Methodologies pp 274–285Cite as

Path Planning of Bionic Robotic Fish Based on BK Products of Fuzzy Relation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10363))

Abstract

In this paper, a heuristic search technology is presented for the path planning of a bionic robotic fish equipped with single beam sonar. When the bionic robotic fish is navigating, the scanning range of the sonar is divided into 5 parts, and each sub-part is a candidate course, while the middle part as the current course. With the fuzzy relation between sub-parts of sonar and real time environment attributes as the core concept, the triangle sub-product relationship put forward by Bandler and Kohout reveals the relationship between the various parts of the sonar, and a sub-part of sonar is selected as the inheritance course of bionic fish. The simulation scene and the pool scene are set to validate the effect of the planning strategy, as a result of which it can conclude that the planning strategy based on BK triangle sub-product can effectively realize path planning of bionic robotic fish.

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Author information

Authors and Affiliations

  1. Fujian Key Lab of the Brain-Like Intelligent Systems, Xiamen University, Xiamen, FJ, 361005, China

    Yuntian Shi & Wei Pan

Authors
  1. Yuntian Shi
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  2. Wei Pan
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Corresponding author

Correspondence to Yuntian Shi .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Liverpool John Moores University, Liverpool, United Kingdom

    Abir Hussain

  3. Inha University, Incheon, Korea (Republic of)

    Kyungsook Han

  4. Indian Institute of Technology Madras, Chennai, India

    M. Michael Gromiha

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Shi, Y., Pan, W. (2017). Path Planning of Bionic Robotic Fish Based on BK Products of Fuzzy Relation. In: Huang, DS., Hussain, A., Han, K., Gromiha, M. (eds) Intelligent Computing Methodologies. ICIC 2017. Lecture Notes in Computer Science(), vol 10363. Springer, Cham. https://doi.org/10.1007/978-3-319-63315-2_24

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  • DOI: https://doi.org/10.1007/978-3-319-63315-2_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63314-5

  • Online ISBN: 978-3-319-63315-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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