Bionic Robotic Fish: 2nd Edition

A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Locomotion and Bioinspired Robotics".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 680

Special Issue Editors


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Guest Editor
Department of Advanced Manufacturing and Robotics, State Key Laboratory for Turbulence and Complex Systems, College of Engineering, Peking University, Beijing, China
Interests: underwater robot; intelligent control; multi-robot system; environmental perception

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Guest Editor
Institute of Automation, Chinese Academy of Sciences, Beijing, China
Interests: bionic robot; underwater robot; intelligent control system
National Engineering Research Center of Software Engineering, Peking University, Beijing, China
Interests: biomimetic robotics; multi-robot systems
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Special Issue Information

Dear Colleagues,

Throughout their evolution, natural organisms have been developing astonishing behavior characteristics and survival skills that can inspire the creation of novel practical devices. As masters of the sea, fishes have long been the focus of considerable research because of their highly efficient and maneuverable swimming styles, thus offering significant potential for improving the performance of artificial underwater devices. For the purpose of convenient and effective investigation on fishlike swimming, many bionic robotic fishes have been developed in the last three decades. As the integration of ichthyologic, hydrodynamic, mechanical, electronic, control, and computer disciplines, bionic robotic fish research involves various topics, including bioinspired propulsive principles, prototype design and optimization, actuation mode, motion control, multi-sensor information processing, autonomous navigation, real-world applications, and so on. Bionic robotic fish shed light on the iterative interaction of fish biology and engineering technology. They can not only assist biologists in studying the kinematic mechanism and hydrodynamic analyses of real fish, but also help engineers to explore a practical, effective, and flexible propulsive mechanism for underwater devices.

This Special Issue, titled “Bionic Robotic Fish”, aims to provide an opportunity to present and share recent progress and technologies on any aspect of bionic robotic fish. Some of its focal points include, but are not limited to, the following:

  1. Bionic robotic fish design;
  2. Materials, structures, and actuators of bionic robotic fish;
  3. Modeling of bionic robotic fish;
  4. Advanced control of bionic robotic fish;
  5. Learning method for bionic robotic fish;
  6. Sensing and perception for bionic robotic fish;
  7. Autonomous navigation of bionic robotic fish;
  8. Swarm robotic fish, multi-robotic fish system;
  9. Applications of bionic robotic fish;
  10. Animal–robot interaction.

Reviews, original research, and communications will be welcome.

Dr. Shihan Kong
Dr. Jian Wang
Dr. Chen Wang
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomimetics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • hydrodynamic modelling
  • mechanical design
  • sensors and actuators
  • rhythmic generator
  • locomotion control
  • motion planning
  • path following
  • swarm intelligence
  • applications of bionic robotic fish
  • animal–robot interaction

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Published Papers (1 paper)

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Research

16 pages, 6371 KiB  
Article
A Dynamic Interference Detection Method of Underwater Scenes Based on Deep Learning and Attention Mechanism
by Shuo Shang, Jianrong Cao, Yuanchang Wang, Ming Wang, Qianchuan Zhao, Yuanyuan Song and He Gao
Biomimetics 2024, 9(11), 697; https://doi.org/10.3390/biomimetics9110697 - 14 Nov 2024
Viewed by 347
Abstract
Improving the three-dimensional reconstruction of underwater scenes is a challenging and hot topic in the field of underwater robot vision system research. High dynamic interference underwater has always been one of the key issues affecting the 3D reconstruction of underwater scenes. However, due [...] Read more.
Improving the three-dimensional reconstruction of underwater scenes is a challenging and hot topic in the field of underwater robot vision system research. High dynamic interference underwater has always been one of the key issues affecting the 3D reconstruction of underwater scenes. However, due to the complex underwater environment and insufficient light, existing target detection algorithms cannot meet the requirements. This paper uses the YOLOv8 network as the basis of the algorithm and proposes an underwater dynamic target detection algorithm based on improved YOLOv8. This algorithm first improves the feature extraction layer of the YOLOv8 network, improves the convolutional network structure of Bottleneck, reduces the amount of calculation and improves detection accuracy. Secondly, it adds an improved SE attention mechanism to make the network have a better feature extraction effect; in addition, the confidence box loss function of the network is improved, and the CIoU loss function is replaced by the MPDIoU loss function, which effectively improves the model convergence speed. Experimental results show that the mAP value of the improved YOLOv8 underwater dynamic target detection algorithm proposed in this article can reach 95.1%, and it can detect underwater dynamic targets more accurately, especially small dynamic targets in complex underwater scenes. Full article
(This article belongs to the Special Issue Bionic Robotic Fish: 2nd Edition)
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