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Biomimetics
Special Issues
Bio-Inspired Underwater Robots: 2nd Edition
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Bio-Inspired Underwater Robots: 2nd Edition

A special issue of Biomimetics (ISSN 2313-7673).

Deadline for manuscript submissions: closed (25 March 2024) | Viewed by 2051

Special Issue Editor

Prof. Dr. Guijie Liu

E-Mail Website
Guest Editor
Department of Mechanical and Electrical Engineering, Ocean University of China, Qingdao, China
Interests: underwater robot; underwater bionics; marine electromechanical equipment; equipment status monitoring and fault diagnosis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue, entitled "Bio-Inspired Underwater Robots", seeks to introduce the latest research on the development of bionic underwater robots. The highlights are presented as follows:

  1. An introduction to kinematic and theoretical models of undulating fin robots is presented based on the structure, morphology, and motion characteristics of typical bionic objects;
  2. The progress of research on the undulating propulsion mechanism of an undulating fin robot is presented in terms of theoretical derivation, numerical simulation, and validation tests;
  3. The propulsion mechanism and prototype development technology of the undulating fin robot are summarized, and suggestions are made for the development of undulating propulsion underwater robots.

Prof. Dr. Guijie Liu
Guest Editor

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

  • bionic underwater robots
  • undulating fin robots
  • undulating propulsion mechanism
  • theoretical derivation
  • numerical simulation

Published Papers (3 papers)

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Research

24 pages, 7372 KiB  
Article
Bioinspired Control Architecture for Adaptive and Resilient Navigation of Unmanned Underwater Vehicle in Monitoring Missions of Submerged Aquatic Vegetation Meadows
by Francisco García-Córdova, Antonio Guerrero-González and Fernando Hidalgo-Castelo
Biomimetics 2024, 9(6), 329; https://doi.org/10.3390/biomimetics9060329 - 30 May 2024
Viewed by 87
Abstract
Submerged aquatic vegetation plays a fundamental role as a habitat for the biodiversity of marine species. To carry out the research and monitoring of submerged aquatic vegetation more efficiently and accurately, it is important to use advanced technologies such as underwater robots. However, [...] Read more.
Submerged aquatic vegetation plays a fundamental role as a habitat for the biodiversity of marine species. To carry out the research and monitoring of submerged aquatic vegetation more efficiently and accurately, it is important to use advanced technologies such as underwater robots. However, when conducting underwater missions to capture photographs and videos near submerged aquatic vegetation meadows, algae can become entangled in the propellers and cause vehicle failure. In this context, a neurobiologically inspired control architecture is proposed for the control of unmanned underwater vehicles with redundant thrusters. The proposed control architecture learns to control the underwater robot in a non-stationary environment and combines the associative learning method and vector associative map learning to generate transformations between the spatial and velocity coordinates in the robot actuator. The experimental results obtained show that the proposed control architecture exhibits notable resilience capabilities while maintaining its operation in the face of thruster failures. In the discussion of the results obtained, the importance of the proposed control architecture is highlighted in the context of the monitoring and conservation of underwater vegetation meadows. Its resilience, robustness, and adaptability capabilities make it an effective tool to face challenges and meet mission objectives in such critical environments. Full article
(This article belongs to the Special Issue Bio-Inspired Underwater Robots: 2nd Edition)
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16 pages, 70501 KiB  
Article
Pectoral Fin Propulsion Performance Analysis of Robotic Fish with Multiple Degrees of Freedom Based on Burst-and-Coast Swimming Behavior Stroke Ratio
by Zonggang Li, Bin Li, Haoyu Li and Guangqing Xia
Biomimetics 2024, 9(5), 301; https://doi.org/10.3390/biomimetics9050301 - 18 May 2024
Viewed by 349
Abstract
The pectoral fin propulsion of a bionic robotic fish always consists of two phases: propulsion and recovery. The robotic fish moves in a burst-and-coast swimming manner. This study aims to analyze a pair of bionic robotic fish with rigid pectoral fin propulsion with [...] Read more.
The pectoral fin propulsion of a bionic robotic fish always consists of two phases: propulsion and recovery. The robotic fish moves in a burst-and-coast swimming manner. This study aims to analyze a pair of bionic robotic fish with rigid pectoral fin propulsion with three degrees of freedom and optimize the elliptical propulsion curve with the minimum recovery stroke resistance using computational fluid dynamics methods. Then, the time allocated to the propulsion and recovery phases is investigated to maximize the propulsion performance of the bionic robotic fish. The numerical simulation results show that when the time ratio of the propulsion and recovery phases is 0.5:1, the resistance during the movement of the robotic fish is effectively reduced, and the drag-reducing effect is pronounced. According to a further analysis of pressure clouds and vortex structures, the pressure difference between the upstream and downstream fins of the pectoral fin varies with different stroke ratios. The increase in recovery phase time helps to prevent premature damage to the vortex ring structure generated during the propulsion process and improves propulsion efficiency. Full article
(This article belongs to the Special Issue Bio-Inspired Underwater Robots: 2nd Edition)
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18 pages, 1172 KiB  
Article
Toward the Intelligent, Safe Exploration of a Biomimetic Underwater Robot: Modeling, Planning, and Control
by Yu Wang, Jian Wang, Lianyi Yu, Shihan Kong and Junzhi Yu
Biomimetics 2024, 9(3), 126; https://doi.org/10.3390/biomimetics9030126 - 21 Feb 2024
Viewed by 1195
Abstract
Safe, underwater exploration in the ocean is a challenging task due to the complex environment, which often contains areas with dense coral reefs, uneven terrain, or many obstacles. To address this issue, an intelligent underwater exploration framework of a biomimetic robot is proposed [...] Read more.
Safe, underwater exploration in the ocean is a challenging task due to the complex environment, which often contains areas with dense coral reefs, uneven terrain, or many obstacles. To address this issue, an intelligent underwater exploration framework of a biomimetic robot is proposed in this paper, including an obstacle avoidance model, motion planner, and yaw controller. Firstly, with the aid of the onboard distance sensors in robotic fish, the obstacle detection model is established. On this basis, two types of obstacles, i.e., rectangular and circular, are considered, followed by the obstacle collision model’s construction. Secondly, a deep reinforcement learning method is adopted to plan the plane motion, and the performances of different training setups are investigated. Thirdly, a backstepping method is applied to derive the yaw control law, in which a sigmoid function-based transition method is employed to smooth the planning output. Finally, a series of simulations are carried out to verify the effectiveness of the proposed method. The obtained results indicate that the biomimetic robot can not only achieve intelligent motion planning but also accomplish yaw control with obstacle avoidance, offering a valuable solution for underwater operation in the ocean. Full article
(This article belongs to the Special Issue Bio-Inspired Underwater Robots: 2nd Edition)
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