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Australasian Joint Conference on Artificial Intelligence

AI 2005: AI 2005: Advances in Artificial Intelligence pp 215–224Cite as

Coordinated Collision Avoidance of Multiple Biomimetic Robotic Fish

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3809))

Abstract

This paper presents a novel reactive collision avoidance method among multiple biomimetic robotic fish with kinematic constraints. Based on successfully developing a robotic fish prototype, we step further to study navigation problem of robotic fish in dynamic water environments. Considering the nonholonomic properties and the inherent kinematic constraints of the robotic fish, limit cycle approach is employed with which the robotic fish can avoid one another smoothly and efficiently. The effectiveness of the proposed method is verified through experiments conducted with three robotic fish.

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Author information

Authors and Affiliations

  1. Intelligent Control Laboratory, Center for Systems and Control, Department of Mechanics and Engineering Science, Peking University, Beijing, 100871, P.R. China

    Dandan Zhang, Long Wang & Guangming Xie

  2. Automation Department, University of Science and Technology Beijing, Beijing, 100083, P.R. China

    Weicun Zhang

Authors
  1. Dandan Zhang
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  2. Long Wang
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  3. Guangming Xie
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  4. Weicun Zhang
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Editor information

Editors and Affiliations

  1. Guangxi Normal University, College of CS and IT, Guilin, China, and University of Technology, Faculty of Engineering and Information Technology, Sydney, Australia

    Shichao Zhang

  2. Department of Electrical and Computer Systems Engineering, Monash University, 3800, Melbourne, Victoria, Australia

    Ray Jarvis

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Zhang, D., Wang, L., Xie, G., Zhang, W. (2005). Coordinated Collision Avoidance of Multiple Biomimetic Robotic Fish. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_24

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  • DOI: https://doi.org/10.1007/11589990_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30462-3

  • Online ISBN: 978-3-540-31652-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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