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Underwater Robot

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 2752

Special Issue Editor


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Guest Editor
Department of Information and Communication Engineering, Xiamen University, Xiamen 361005, China
Interests: underwater acoustic communications; image processing; embedded systems

Special Issue Information

Dear Colleagues,

With an increase in the population and economic development, human beings need to develop marine resources to meet the needs of economic development, and underwater robot technology is the key technology used in marine exploration. The use of underwater robot has been flourishing in various areas, such as oil and gas geophysical exploration, geotechnical surveys, marine infrastructure installation and monitoring, aquaculture and fisheries, environments data acquisition, and underwater archaeology.

Simultaneously, the boom of artificial intelligence technology in recent years is pushing underwater robots to become more autonomous and intelligent. This Special Issue intends to preserve advances in underwater robots and provide a comprehensive overview of future solutions from various computational and engineering aspects.

This Special Issue will publish high-quality and original research papers, in the overlapping fields of:

  • Intelligent and autonomous underwater robot systems;
  • Underwater vehicles and manipulators;
  • Design of underwater manipulators systems;
  • Underwater robot navigation and guidance;
  • Underwater human-machine interaction;
  • Machine learning and artificial intelligent applications;
  • Medium and long distance communication for underwater robot;
  • Underwater image enhancement/restoration for underwater robot system;
  • Underwater binocular vision system;
  • Visual sensor system for underwater robot detection and tracking;
  • Underwater sensor network;
  • Applications of autonomous and remotely operated underwater robots.

Prof. Dr. Fei Yuan
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. Applied Sciences 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

  • underwater robot
  • artificial intelligence
  • navigation and guidance
  • autonomy
  • human-machine interaction
  • underwater communication
  • binocular vision system
  • underwater image enhancement

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Published Papers (1 paper)

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Research

17 pages, 22048 KiB  
Article
Underwater Accompanying Robot Based on SSDLite Gesture Recognition
by Tingzhuang Liu, Yi Zhu, Kefei Wu and Fei Yuan
Appl. Sci. 2022, 12(18), 9131; https://doi.org/10.3390/app12189131 - 11 Sep 2022
Cited by 6 | Viewed by 2310
Abstract
Underwater robots are often used in marine exploration and development to assist divers in underwater tasks. However, the underwater robots on the market have some problems, such as only a single function of object detection or tracking, the use of traditional algorithms with [...] Read more.
Underwater robots are often used in marine exploration and development to assist divers in underwater tasks. However, the underwater robots on the market have some problems, such as only a single function of object detection or tracking, the use of traditional algorithms with low accuracy and robustness, and the lack of effective interaction with divers. To this end, we designed a type of gesture recognition based on interaction, using person tracking as an auxiliary means for an underwater accompanying robot (UAR). We train and test the SSDLite detection algorithm using the self-labeled underwater datasets, and combine the kernelized correlation filters (KCF) tracking algorithm with the “Active Control” target tracking rule to continuously track the underwater human body. Our experiments show that the use of underwater datasets and target tracking can effectively improve gesture recognition accuracy by 40–105%. In the outfield experiment, the performance of the algorithm was good. It achieved target tracking and gesture recognition at 29.4 FPS on Jetson Xavier NX, and the UAR made corresponding actions according to the diver gesture command. Full article
(This article belongs to the Special Issue Underwater Robot)
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