Underwater Robotics: Theory, Methods and Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: 15 December 2024 | Viewed by 1128

Special Issue Editors


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Guest Editor
School of Artificial Intelligence, Anhui University, Hefei 230039, China
Interests: target searching and path planning of underwater vehicles

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Guest Editor
School of Artificial Intelligence, Anhui University, Hefei 230039, China
Interests: robotics motion control

E-Mail Website
Guest Editor
School of Artificial Intelligence, Anhui University, Hefei 230039, China
Interests: Intelligent autonomous unmanned system

Special Issue Information

Dear Colleagues,

With the continuous deepening of ocean exploration, humans will face more and more extreme underwater operations that cannot be completed. Underwater robots have emerged as important tools for understanding and developing the ocean due to their unmanned, intelligent, and clustered capabilities. They have broad application prospects in fields such as oil and mineral exploration, geomorphic surveying, scientific research observation, aquaculture, pier dam inspection, ship cleaning, diving entertainment, underground pipeline inspection, military and national defense, etc. In order to better explore the latest breakthrough and innovative research achievements, current challenges, and corresponding solutions of underwater robots, Electronics plan to launch a Special Issue entitled "Underwater Robotics: Theory, Methods and Applications". Electronics welcomes contributions from experts, scholars, and researchers from relevant research fields.

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

Topic

(1) Design and modeling of a new type of underwater robot

(2) Heterogeneous multi-sensor system perception of the underwater environment

(3) Image processing and recognition of the underwater environment

(4) Acoustic and optical image fusion in the underwater environment

(5) Communication networking technology for surface/underwater environment

(6) Navigation positioning and trajectory planning for underwater environments

(7) Formation and obstacle avoidance control of underwater robots

(8) Control of underwater robots based on deep reinforcement learning

(9) Underwater robot grasping and search technology

(10) Collaborative positioning and control of underwater robots

Dr. Xiang Cao
Dr. Yunhu Zhou
Dr. Juqi Hu
Guest Editors

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Keywords

  • design and modeling
  • perception
  • image processing and recognition
  • control
  • communication networking
  • navigation positioning
  • planning

Published Papers (1 paper)

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Research

24 pages, 6730 KiB  
Article
USV Search Mission Planning Methodology for Lost Target Rescue on Sea
by Han Zhang, Yanyan Huang, Hucheng Qin and Ze Geng
Electronics 2023, 12(22), 4584; https://doi.org/10.3390/electronics12224584 - 9 Nov 2023
Cited by 1 | Viewed by 925
Abstract
Quick and efficient mission planning is essential in maritime search and rescue (SAR). This includes defining the search area and developing an effective strategy. The task is fraught with challenges due to the difficulty of determining location information and the impact of complex [...] Read more.
Quick and efficient mission planning is essential in maritime search and rescue (SAR). This includes defining the search area and developing an effective strategy. The task is fraught with challenges due to the difficulty of determining location information and the impact of complex meteorological environments. The primary objective of SAR mission planning is the rapid deployment of unmanned surface vehicles (USVs) to the incident area. While many planning algorithms prioritize the shortest route, there’s a lack of mission planning measures that maximize SAR effectiveness. In addition, the joint deployment of USVs increases the success rate compared to individual operations. Therefore, this paper presents a task assignment framework for USVs in SAR missions that considers the probability of success and time constraints. USVs are used to search for lost targets, and the framework consists of the following three modules: (1) a module for predicting the location of the overboard target to be rescued; (2) a module for modeling the probability of mission success; (3) a module for assigning search tasks to USVs. The framework first analyzes the search area. Then, it predicts the target location with a stochastic particle method, which incorporates marine environment forecast data to update the mission target location. To improve the scientific nature of USV search and rescue mission plans, an evaluation model is developed to assess mission capability. Simulation experiments and task scheme analysis validate its effectiveness. Full article
(This article belongs to the Special Issue Underwater Robotics: Theory, Methods and Applications)
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