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Unmanned Marine Vehicles and Intelligent Control System in Future Maritime Industry

This special issue belongs to the section “Sustainable Transportation“.

Special Issue Information

Dear Colleagues,

Unmanned marine vehicles (UMVs) is a collective term used to describe autonomous underwater vehicles, remotely operated vehicles, semi-submersibles, and unmanned surface craft. Worldwide interest in the design and development of UMVs is rapidly increasing as they are now considered by many as being able to provide cost-effective solutions to a number of commercial, naval and scientific problems. This worldwide interest in such vehicles is combined with the current and ongoing advances being made in control systems engineering, artificial intelligence and Big Data technology.

The development of intelligence control methods and marine applications is related to the fact that there is a large amount of available data and knowledge on such methods. The application of intelligence control in practice is conditioned by prerequisites that must be met for the effective development, deployment, and use of such solutions in the context of sustainable development. In addition to the mentioned availability of suitable marine Big Data and intelligent control techniques, it is also a process that supports the implementation of innovative projects.

This Special Issue aims to discuss new applications of unmanned marine vehicles and intelligent control methods in various industrial and research solutions, contributing to the sustainable development of processes, focusing on applications in marine vehicles and other industrial technologies and presenting strengths and weaknesses, but also opportunities and limitations from their application with regard to sustainable development. This Special Issue will provide an opportunity for academia and the industry to present innovative solutions for the application of marine vehicles, intelligent control methods and Big Data processing technologies for sustainability.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Unmanned marine vehicles (UMVs);
  • Unmanned surface vehicles (USVs);
  • Unmanned underwater vehicles (UUVs);
  • Remotely operated vehicles (ROVs);
  • Data sciences;
  • Deep learning;
  • Reinforcement learning;
  • Intelligent control technology;
  • Optimization;
  • Big Data;
  • Control theory and applications.

We look forward to receiving your contributions.

Dr. Liying Hao
Dr. Yi Zuo
Dr. Hui Li
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. Sustainability is an international peer-reviewed open access semimonthly 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 2400 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

  • unmanned marine vehicles (UMVs)
  • data sciences
  • control theory and applications
  • artificial intelligence
  • intelligent control

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Sustainability - ISSN 2071-1050