Advancements in New Concepts of Underwater Robotics—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: 25 August 2025 | Viewed by 813

Special Issue Editors


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Guest Editor
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
Interests: underwater optical and acoustic image processing; target detection and recognition; underwater intelligent robots
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
College of Innovative Development, Harbin Engineering University, Qingdao 266000, China
Interests: deep-sea exploring and salvage; new-concept subsea robotics; autonomous underwater vehicles; reliability and safety
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The ocean is rich in oil and gas energy reserves, rare minerals and sea creatures. As such, it is regarded as a crucial object of research from a wide array of perspectives including science, the environment, and the military. In this context, underwater robotic systems have emerged as a fascinating research area and a promising industry tool as advanced technologies are being increasingly explored to design various subsystems. Significant research efforts have been undertaken to develop new concepts of underwater robotics, such as the development of new materials, advanced computing and sensory technology, and new theories, to overcome the many engineering challenges engendered by the unstructured and hazardous ocean environment.

This Special Issue aims to collate research papers that provide an overview of the recent progress in the investigation and practical applications of new underwater robotics concepts. Potential topics include, but are not limited to, the following: design method; control algorithm; topological optimization; hydrodynamic analysis; prognosis and health management; practical applications and experiments; reliability and safety; and future perspectives for underwater robotics.

Prof. Dr. Xiufen Ye
Prof. Dr. Yunsai Chen
Guest Editors

Manuscript Submission Information

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Keywords

  • design method
  • control algorithm
  • topological optimization
  • hydrodynamic analysis
  • prognosis and health management
  • practical applications and experiments
  • safety and reliability
  • future perspectives for underwater robotics

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Published Papers (1 paper)

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Research

23 pages, 7429 KiB  
Article
Design of a Sliding Mode Controller for Lateral Motion Control of a Supercavitating Vehicle Based on a Radial Basis Function Neural Network Observer
by Shangze Chen, Xinhua Zhao and Xiufen Ye
J. Mar. Sci. Eng. 2025, 13(3), 418; https://doi.org/10.3390/jmse13030418 - 24 Feb 2025
Cited by 1 | Viewed by 344 | Correction
Abstract
Newton’s second law has been applied to create a dynamic model of the lateral motion of a supercavitating vehicle, assuming a stable cavity. However, some states cannot be measured, and there is uncertainty in the lateral model. Aiming to resolve these issues, this [...] Read more.
Newton’s second law has been applied to create a dynamic model of the lateral motion of a supercavitating vehicle, assuming a stable cavity. However, some states cannot be measured, and there is uncertainty in the lateral model. Aiming to resolve these issues, this work describes the design of a sliding-mode controller based on a state observer and a radial basis function neural network observer to realize lateral attitude control of supercavitating vehicle. Because there is a variable signal that cannot always be obtained in the established lateral model, the state observer is designed to estimate the unknown state; when there are unknown variables and model uncertainty and the state is unknown, the radial basis function neural network observer estimates model uncertainty. Finally, based on these results, a robust sliding mode controller is designed and system stability is proved by the Lyapunov theorem. Full article
(This article belongs to the Special Issue Advancements in New Concepts of Underwater Robotics—Second Edition)
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