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Biomimetics
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Bionic Robotic Fish: 2nd Edition
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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: 30 June 2025 | Viewed by 2983

Special Issue Editors

Dr. Shihan Kong

E-Mail Website
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
Dr. Jian Wang

E-Mail Website
Guest Editor
Institute of Automation, Chinese Academy of Sciences, Beijing, China
Interests: bionic robot; underwater robot; intelligent control system
Dr. Chen Wang

E-Mail Website
Guest Editor
National Engineering Research Center of Software Engineering, Peking University, Beijing, China
Interests: biomimetic robotics; multi-robot systems
Special Issues, Collections and Topics in MDPI journals

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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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Related Special Issue

Published Papers (3 papers)

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Research

20 pages, 7193 KiB  
Article
Hydrodynamic Characteristics Study of Bionic Dolphin Tail Fin Based on Bidirectional Fluid–Structure Interaction Simulation
by Ning Wang, Yu Zhang, Linghui Peng and Wenchuan Zhao
Biomimetics 2025, 10(1), 59; https://doi.org/10.3390/biomimetics10010059 - 16 Jan 2025
Viewed by 815
Abstract
Using bidirectional fluid–structure interaction technology, the dorsal–ventral motion of the dolphin tail fin was simulated, and the feasibility of the numerical simulation method was validated through underwater motion experiments. This study investigated the effects of structural parameters and motion modes of bionic dolphin [...] Read more.
Using bidirectional fluid–structure interaction technology, the dorsal–ventral motion of the dolphin tail fin was simulated, and the feasibility of the numerical simulation method was validated through underwater motion experiments. This study investigated the effects of structural parameters and motion modes of bionic dolphin tail fins on their propulsion performance. The results show that flexible tail fins can enhance propulsion performance. Compared to equal-thickness flexible tail fins, variable-thickness flexible tail fins that conform to the structural characteristics of real dolphin tail fins exhibit better propulsion performance. Asymmetric motion modes have a certain thrust-enhancing effect, but altering the frequency ratio F and amplitude ratio H of heaving motion leads to an increase in pitching moment, reducing swimming stability. Additionally, the greater the difference in frequency and amplitude between the up-and-down motions, the larger the pitching moment. The study results provide references for the optimized design and motion control of bionic tail fins. Full article
(This article belongs to the Special Issue Bionic Robotic Fish: 2nd Edition)
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20 pages, 9274 KiB  
Article
Numerical Simulation on Self-Propulsion Characteristics of Bionic Flexible Foil Considering Ground Wall Effect
by Yongcheng Li, Nan Zhang, Xinyuan Tang, Ziying Pan and Pengfei Xu
Biomimetics 2024, 9(12), 750; https://doi.org/10.3390/biomimetics9120750 - 10 Dec 2024
Viewed by 672
Abstract
In order to figure out the wall effect on the propulsive property of an auto-propelled foil, the commercial open-source code ANSYS Fluent was employed to numerically evaluate the fluid dynamics of flexible foil under various wall distances. A virtual model of NACA0015 foil [...] Read more.
In order to figure out the wall effect on the propulsive property of an auto-propelled foil, the commercial open-source code ANSYS Fluent was employed to numerically evaluate the fluid dynamics of flexible foil under various wall distances. A virtual model of NACA0015 foil undergoing travelling wavy motion was adopted, and the research object included 2D and 3D models. To capture the foil’s moving boundary, the dynamic grid technique coupled with the overlapping grid was utilized to realize the foil’s positive deformation and passive forward motion. The ground wall effect on fluid dynamics (thrust force, lift force and propulsive efficiency) and the flow structures of travelling wavy foil were analyzed. The numerical results show that the existence of the ground wall is beneficial for the propulsive property of foil. Specifically, the existence of the wall can improve the forward speed and efficiency of foil, with a maximum increase of 13% in moving velocity and a 10.5% increase in propulsive efficiency. The conclusions acquired in the current study are of great significance for the design of bionic UUV. Full article
(This article belongs to the Special Issue Bionic Robotic Fish: 2nd Edition)
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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 874
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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