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Underwater Robots
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Underwater Robots

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: closed (30 March 2025) | Viewed by 2065

Special Issue Editors

Dr. Qinghua Jiang

E-Mail Website
Guest Editor
Qingdao Innovation and Development Base, Harbin Engineering University, Qingdao 266000, China
Interests: underwater robot design and optimization; guidance and trajectory planning; motion and posture control
Dr. Dong Zhang

E-Mail Website
Guest Editor
Qingdao Innovation and Development Base, Harbin Engineering University, Qingdao 266000, China
Interests: new-concept underwater robot; hydrodynamics; bio-inspired propulsion

Special Issue Information

Dear Colleagues,

As an important way to explore marine environments and exploit rich natural resources, underwater robots have gained intensive research interest in recent decades. On the one hand, high pressure and low temperatures in the deep ocean bring many difficulties to the design and optimization of underwater robots; on the other hand, scientists are demanding more functions, higher reliability, and smarter intelligence from such robots. All these facts promote the advancement of underwater robots and relevant technologies, such as autonomous navigation and location, energy and power management, communication and data transmission, and intelligent and autonomous decision making.

This Special Issue aims to showcase works representing the latest and the most advanced research regarding underwater robots that can hopefully lead and inspire future advances. Potential topics include, but are not limited to, design and optimization methods, new concepts and multimodal underwater robots, trans-media vehicles, robots with biomimetic propulsion, hydrodynamics, and future perspectives related to underwater robots.

Dr. Qinghua Jiang
Dr. Dong Zhang
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. 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

  • design and optimization methods
  • new-concept and multimodal underwater robots
  • trans-media vehicles
  • robots with biomimetic propulsion
  • hydrodynamics
  • future perspectives related to underwater robots

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

18 pages, 11293 KiB  
Article
An Improved Real-Time LOS-Based Model Predictive Control for the Semi-Submersible Offshore Platform Under Ocean Disturbances
by Shunli Wang, Xiufen Ye, Ronghao Zhang and Meng Luo
J. Mar. Sci. Eng. 2025, 13(4), 725; https://doi.org/10.3390/jmse13040725 - 4 Apr 2025
Viewed by 266
Abstract
To enhance the autonomy of semi-submersibles, a Model Predictive Control (MPC) strategy was proposed based on real-time Line-of-Sight (LOS) to address the issue of thruster saturation. By identifying parameters using experimental data from sea trials, the dynamic model of the semi-submersible was derived [...] Read more.
To enhance the autonomy of semi-submersibles, a Model Predictive Control (MPC) strategy was proposed based on real-time Line-of-Sight (LOS) to address the issue of thruster saturation. By identifying parameters using experimental data from sea trials, the dynamic model of the semi-submersible was derived and established. The kinematic and dynamic models were combined to construct a complete MPC prediction model, and the LOS method was integrated into the MPC strategy to achieve trajectory-tracking functionality. Unlike prior research that was validated exclusively through simulations, this paper further validated the efficacy of the improved LOS-MPC in real path tracking through a series of sea trials. The experimental findings indicate that the improved LOS-MPC approach is capable of rapidly guiding the semi-submersible to precisely follow the reference trajectory. In comparison to conventional PID controllers, the LOS-MPC-based path-tracking controller demonstrates enhanced effectiveness in terms of response speed, tracking accuracy, and robustness. Full article
(This article belongs to the Special Issue Underwater Robots)
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14 pages, 6197 KiB  
Article
Research on Water-Entry Hydrodynamics for a Cross-Wing Underwater Vehicle
by Yunsai Chen, Haozhen Pang, Dong Zhang, Zhang Shi and Qinghua Jiang
J. Mar. Sci. Eng. 2025, 13(2), 297; https://doi.org/10.3390/jmse13020297 - 5 Feb 2025
Viewed by 568
Abstract
The optimization of the water-entry strategy for cross-wing underwater vehicles has become a research hotspot in the field of engineering, and its water-entry process is quite different from that of wedges and cylinders. In order to address this problem, a water-entry numerical model [...] Read more.
The optimization of the water-entry strategy for cross-wing underwater vehicles has become a research hotspot in the field of engineering, and its water-entry process is quite different from that of wedges and cylinders. In order to address this problem, a water-entry numerical model for the cross-wing underwater vehicle was first established based on the CFD method. The governing equations and boundary conditions of the dynamic model were defined, along with the basic principles of discretization and turbulent flow of the governing equations. The overset mesh and the VOF multiphase flow model were introduced, and a mesh size independence analysis of the numerical model was conducted. Furthermore, the numerical results were compared with the experimental results to ensure the accuracy of the numerical model. The research focused on the cross-wing underwater vehicle’s impact with calm water and regular waves, respectively. The results show that: (1) the numerical simulations are in good agreement with the experimental results (the maximum predictive error is less than 10%), which verifies the accuracy of the numerical model in this paper; (2) when the cross-wing underwater vehicle impacts calm water, the slamming pressure curve firstly shows a trend of increasing, reaching a peak, and then decreasing sharply, and finally stabilizes. As the water-entry velocity increases, the peak slamming pressure exhibits a gradual increase; (3) during the water entry of the cross-wing underwater vehicle into calm water, the acceleration profile demonstrates a trend of initial increase, followed by a decrease, another increase, and then a subsequent decrease as the entry velocity continues to rise. It should be noted that there are two peaks in the acceleration, with the first peak being significantly smaller than that of the second; (4) when the cross-wing underwater vehicle impacts a regular wave, the slamming pressure is lowest when impacting the crest and highest when impacting the trough. Full article
(This article belongs to the Special Issue Underwater Robots)
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