Motion Control of Biomimetic Swimming Robots

  • Junzhi Yu
  • Min Tan

Part of the Research on Intelligent Manufacturing book series (REINMA)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Junzhi Yu, Min Tan
    Pages 1-24
  3. Junzhi Yu, Min Tan
    Pages 71-99
  4. Junzhi Yu, Min Tan
    Pages 101-121
  5. Junzhi Yu, Min Tan
    Pages 149-172
  6. Junzhi Yu, Min Tan
    Pages 173-196
  7. Junzhi Yu, Min Tan
    Pages 197-201
  8. Back Matter
    Pages 203-203

About this book


This book reports on the latest advances in the study of motion control in biomimetic swimming robots with high speed and high manoeuvrability. It presents state-of-the-art studies on various swimming robots including robotic fish, dolphins and jellyfish in a unified framework, and discusses the potential benefits of applying biomimetic underwater propulsion to autonomous underwater vehicle design, such as: speed, energy economy, enhanced manoeuvrability, and reduced detectability. Given its scope, the book will be of interest to researchers, engineers and graduate students in robotics and ocean engineering who wish to learn about the core principles, methods, algorithms, and applications of biomimetic underwater robots. 


Motion control Biomimetic swimming robots High speed and maneuverability Self-propelled robotic dolphin Bio-inspired fish body wave Junzhi Yu CPG-based swimming control 3D Maneuvering control Robotic fish Pitch maneuvers of robotic dolphin Leaping control of self-propelled robotic dolphin

Authors and affiliations

  • Junzhi Yu
    • 1
  • Min Tan
    • 2
  1. 1.Institute of AutomationChinese Academy of SciencesBeijingChina
  2. 2.Institute of AutomationChinese Academy of SciencesBeijingChina

Bibliographic information

  • DOI
  • Copyright Information Huazhong University of Science and Technology Press, Wuhan and Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Intelligent Technologies and Robotics
  • Print ISBN 978-981-13-8770-8
  • Online ISBN 978-981-13-8771-5
  • Series Print ISSN 2523-3386
  • Series Online ISSN 2523-3394
  • Buy this book on publisher's site
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