Marine Autonomous Vehicles: Design, Test and Operation—Second Edition

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: 5 March 2025 | Viewed by 1830

Special Issue Editors


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Guest Editor
School of Mechanical Engineering, Tianjin University, Tianjin, China
Interests: design theory and method of underwater vehicles; deep-sea intelligent equipment technology and application; networking technology and application of underwater unmanned systems
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E-Mail Website
Guest Editor
School of Mechanical Engineering, Tianjin University, Tianjin, China
Interests: simulation and experimental studies of autonomous underwater vehicles; design theory and method of underwater gliders; design of new generation of self-supporting bionic underwater vehicles
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The arrival of the Ocean Century has been stimulated by various needs, such as marine resources, seabed topography, marine environment, and marine rights, and marine observation and exploration technology has significantly developed, especially the technology of marine autonomous vehicles.

Now, the Journal of Marine Science and Engineering is pleased to announce a new Special Issue, entitled Marine Autonomous Vehicles: Design, Test and Operation—Second Edition. This is based on the great success of our previous Special Issue with the same title: Marine Autonomous Vehicles: Design, Test and Operation.

This Special Issue, titled Marine Autonomous Vehicles: Design, Test and Operation, welcomes contributions from experts and scholars in the field of marine autonomous vehicles design, test, and operation, including, but not limited to, the following main aspects:

  1. The design, test, and operation of marine autonomous vehicles (including deep-sea-manned submersibles, autonomous underwater vehicles, wave gliders, underwater gliders, intelligent buoys, submarine buoys, surface drift buoys, and new concept underwater vehicles);
  2. Unit technologies supporting the marine autonomous vehicles’ design, testing, and operation (new energy power, intelligent control, navigation and positioning, etc.);
  3. The design, test, and operation of ocean sensing technology (acoustic, optical, electromagnetic, etc.) and their applications;
  4. Marine autonomous vehicles cluster/networking technology;
  5. Theory, methods, technologies, and applications of ocean big data processing and machine learning.

Prof. Dr. Yanhui Wang
Prof. Dr. Shaoqiong Yang
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. Journal of Marine Science and Engineering 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 2600 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

  • deep-sea manned submersible
  • autonomous underwater vehicle
  • wave glider
  • underwater glider
  • intelligent buoy
  • submarine buoy
  • surface drift buoy
  • new concept underwater vehicles

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Related Special Issue

Published Papers (2 papers)

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Research

18 pages, 6723 KiB  
Article
Design and Development of 10,000-Meter Class Autonomous Underwater Vehicle
by Jiali Xu, Zhaopeng Du, Xianqing Huang, Chong Ren, Shuai Fa and Shaoqiong Yang
J. Mar. Sci. Eng. 2024, 12(11), 2097; https://doi.org/10.3390/jmse12112097 - 19 Nov 2024
Viewed by 333
Abstract
As a significant subset of unmanned underwater vehicles (UUVs), autonomous underwater vehicles (AUVs) possess the capability to autonomously execute tasks. Characterized by its flexibility, cost-effectiveness, extensive operational range, and robust environmental adaptability, AUV has emerged as the primary technological apparatus for deep-sea exploration [...] Read more.
As a significant subset of unmanned underwater vehicles (UUVs), autonomous underwater vehicles (AUVs) possess the capability to autonomously execute tasks. Characterized by its flexibility, cost-effectiveness, extensive operational range, and robust environmental adaptability, AUV has emerged as the primary technological apparatus for deep-sea exploration and research. In this paper, we present the design of a 10,000 m class AUV equipped with capabilities such as fixed-depth navigation, regional autonomous cruising, full-depth video recording, and temperature and salinity profiling. Initially, we outline the comprehensive design of the AUV, detailing its structural configuration, system components, functional module arrangement, and operational principles. Subsequently, we compute the hydrodynamic parameters using a spatial kinematics model. Finally, the AUV designed in this paper is tested for its functions and performance, such as fixed-depth sailing, maximum speed, and maximum diving depth, and its reliability and practicability are verified. Full article
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21 pages, 3296 KiB  
Article
Multi Autonomous Underwater Vehicle (AUV) Distributed Collaborative Search Method Based on a Fuzzy Clustering Map and Policy Iteration
by Kaiqian Cai, Guocheng Zhang, Yushan Sun, Guoli Ding and Fengchi Xu
J. Mar. Sci. Eng. 2024, 12(9), 1521; https://doi.org/10.3390/jmse12091521 - 2 Sep 2024
Viewed by 719
Abstract
Collaborative search with multiple Autonomous Underwater Vehicles (AUVs) significantly enhances search efficiency compared to the use of a single AUV, facilitating the rapid completion of extensive search tasks. However, challenges arise in underwater environments characterized by weak communication and dynamic complexities. In large [...] Read more.
Collaborative search with multiple Autonomous Underwater Vehicles (AUVs) significantly enhances search efficiency compared to the use of a single AUV, facilitating the rapid completion of extensive search tasks. However, challenges arise in underwater environments characterized by weak communication and dynamic complexities. In large marine areas, the limited endurance of a single AUV makes it impossible to cover the entire area, necessitating a collaborative approach using multiple AUVs. Addressing the limited prior information available in uncertain marine environments, this paper proposes a map-construction method using fuzzy clustering based on regional importance. Furthermore, a collaborative search method for large marine areas has been designed using a policy-iteration-based reinforcement learning algorithm. Through continuous sensing and interaction during the marine search process, multiple AUVs constantly update the map of regional importance and iteratively optimize the collaborative search strategy to achieve higher search gains. Simulation results confirm the effective utilization of limited information in uncertain environments and demonstrate enhanced search gains in collaborative scenarios. Full article
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