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New Challenges and Trends in Marine Robotics
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New Challenges and Trends in Marine Robotics

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 (31 August 2023) | Viewed by 9692

Special Issue Editor

Dr. William J. Kirkwood

E-Mail Website
Guest Editor
Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA
Interests: climate change; deep-sea instrumentation; autonomous underwater vehicle (AUV); unmanned surface vehicle; remotely operated vehicles (ROV); multi-vehicle controllers; Unmanned Aerial Vehicles (UAV); mechatronics

Special Issue Information

Dear Colleagues,

Science and engineering in the marine environment provide a distinct set of challenges. Efforts in the field have developed an amazing set of tools and knowledge to date, from individuals reaching the deepest depths of the Mariana Trench to autonomous robots circumnavigating the globe. These are tremendous accomplishments, and these trends appear to be accelerating. This begs the question: What will be the next big issues and developments in the marine field? One issue that comes to mind is whale entanglement and ghost fishing gear, a significant issue that threatens to close certain fisheries on both the east and west coasts of the United States. Plastics in the food web are another massive problem that needs to be addressed. These are just two of the future challenges faced by people and the environment. This special issue will examine a number of future challenges and delve into the work being carried out, as well as the next steps towards addressing these issues.

We are seeking high-quality papers to present the work of today that looks forward to tomorrow. Unique and novel ideas, as well as advances in current techniques that focus on the future of marine research, are invited for peer-reviewed publication. We wish to encourage science and engineering papers on instrumentation, robotics, and data analytics working towards understanding the ocean and maintaining the health of our marine environment.

Dr. William J. Kirkwood
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. 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

  • mechatronics
  • advanced autonomous control
  • marine environment
  • heterogenic robot integration
  • autonomous intervention
  • autonomous payloads
  • subsurface navigation
  • marine instrumentation
  • data analysis

Published Papers (4 papers)

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Research

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22 pages, 29162 KiB  
Article
A Fault Diagnosis Method for the Autonomous Underwater Vehicle via Meta-Self-Attention Multi-Scale CNN
by Yimin Chen, Yazhou Wang, Yang Yu, Jiarun Wang and Jian Gao
J. Mar. Sci. Eng. 2023, 11(6), 1121; https://doi.org/10.3390/jmse11061121 - 26 May 2023
Cited by 7 | Viewed by 1592
Abstract
Autonomous underwater vehicles (AUVs) are an important equipment for ocean investigation. Actuator fault diagnosis is essential to ensure the sailing safety of AUVs. However, the lack of failure data for training due to unknown ocean environments and unpredictable failure occurrences is challenging for [...] Read more.
Autonomous underwater vehicles (AUVs) are an important equipment for ocean investigation. Actuator fault diagnosis is essential to ensure the sailing safety of AUVs. However, the lack of failure data for training due to unknown ocean environments and unpredictable failure occurrences is challenging for fault diagnosis. In this paper, a meta-self-attention multi-scale convolution neural network (MSAMS–CNN) is proposed for the actuator fault diagnosis of AUVs. Specifically, a two-dimensional spectrogram of the vibration signals obtained by a vibration sensor is used as the neural network’s inputs. The diagnostic model is fitted by executing a subtask-based gradient optimization procedure to generate more general degradation knowledge. A self-attentive multi-scale feature extraction approach is used to utilize both global and local features for learning important parameters autonomously. In addition, a meta-learning method is utilized to train the diagnostic model without a large amount of labeled data, which enhances the generalization ability and allows for cross-task training. Experimental studies with real AUV data collected by vibration sensors are conducted to validate the effectiveness of the MSAMS–CNN. The results show that the proposed method can diagnose the rudder and thruster faults of AUVs in the cases of few-shot diagnosis. Full article
(This article belongs to the Special Issue New Challenges and Trends in Marine Robotics)
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16 pages, 2251 KiB  
Article
Visual Odometry-Based Robust Control for an Unmanned Surface Vehicle under Waves and Currents in a Urban Waterway
by David Cortes-Vega, Hussain Alazki and Jose Luis Rullan-Lara
J. Mar. Sci. Eng. 2023, 11(3), 515; https://doi.org/10.3390/jmse11030515 - 27 Feb 2023
Cited by 2 | Viewed by 1270
Abstract
This paper proposes the study of a robust control scheme for an Unmanned Surface Vehicle (USV) in a urban waterway using Visual Odometry (VO) for position estimation of the vehicle instead of traditional sensors. For different applications, a USV is required to operate [...] Read more.
This paper proposes the study of a robust control scheme for an Unmanned Surface Vehicle (USV) in a urban waterway using Visual Odometry (VO) for position estimation of the vehicle instead of traditional sensors. For different applications, a USV is required to operate in autonomous navigation mode and under various disturbances inherent to its environment as currents and waves. To achieve efficient operation, a robust control scheme is required to cope with such disturbances. The autonomous navigation is achieved by using VO to estimate the vehicle’s position for denied Global Positioning Systems (GPS) environments. A robust control scheme based on Sliding Modes (SM) control theory is designed and its convergence is guaranteed by means of Lyapunov analysis. The tracking capabilities under disturbance conditions using VO for position estimation are verified in simulation using the virtual world tool from Matlab and Simulink. Full article
(This article belongs to the Special Issue New Challenges and Trends in Marine Robotics)
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35 pages, 12643 KiB  
Article
Analysis and Experimental Research on Efficiency Characteristics of a Deep-Sea Hydraulic Power Source
by Yongqiang Tian, Shuo Liu, Jingchang Long, Wei Chen and Jianxing Leng
J. Mar. Sci. Eng. 2022, 10(9), 1296; https://doi.org/10.3390/jmse10091296 - 14 Sep 2022
Cited by 2 | Viewed by 1644
Abstract
The deep-sea environment has the characteristics of high pressure and low temperature. In addition to the extremely high requirements on the structural reliability, the ultra-high ambient pressure also has a great impact on the working characteristics of the hydraulic source. In this paper, [...] Read more.
The deep-sea environment has the characteristics of high pressure and low temperature. In addition to the extremely high requirements on the structural reliability, the ultra-high ambient pressure also has a great impact on the working characteristics of the hydraulic source. In this paper, the efficiency characteristics of a deep-sea hydraulic source are studied in the full-ocean-depth pressure range. According to the power transfer process, the efficiency of the deep-sea motor, gear pump and hydraulic circuit is analyzed. In so doing, the oil friction loss of the motor rotor, the internal leakage of the gear pump, the viscous friction loss of the hydraulic system, etc., are calculated. Then, simulating the deep-sea high-pressure environment by the pressure cylinder, the output characteristics and corresponding input power of the prototype are measured. By analyzing the experimental data, the efficiency characteristic curve of the hydraulic source prototype, changing with the ambient pressure, is obtained. The experimental and calculation results show that, with the increase of ambient pressure, the system efficiency of the hydraulic source prototype increases first and then decreases. Full article
(This article belongs to the Special Issue New Challenges and Trends in Marine Robotics)
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Review

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31 pages, 54442 KiB  
Review
Marine Internet of Things Platforms for Interoperability of Marine Robotic Agents: An Overview of Concepts and Architectures
by Aleksey Kabanov and Vadim Kramar
J. Mar. Sci. Eng. 2022, 10(9), 1279; https://doi.org/10.3390/jmse10091279 - 10 Sep 2022
Cited by 13 | Viewed by 4384
Abstract
The creation of a Marine Internet of Things platform, including the Underwater Internet of Things, is needed to ensure the interaction and digital navigation of heterogeneous marine robotic agents. It is necessary to combine the following robotic agents: autonomous underwater vehicles, remotely operated [...] Read more.
The creation of a Marine Internet of Things platform, including the Underwater Internet of Things, is needed to ensure the interaction and digital navigation of heterogeneous marine robotic agents. It is necessary to combine the following robotic agents: autonomous underwater vehicles, remotely operated vehicles, active and passive marine sensors, buoys, underwater sonar stations, coastal communication posts, and other elements of the platform. To ensure the interaction of all these elements, it is necessary to use a common communication system within the platform, as well as a common navigation and control system to solve complex problems of the navigation and control of the movement of robotic agents in order to implement a joint mission to collect and transmit data, including video information in real time. The architecture of the Marine Internet of Things platform must first be defined in order to use a unified approach to data exchange. This article provides an overview of approaches to determining the architectures of network underwater and marine communication systems based on the concept of the Internet of Things. This paper provides a comprehensive study of MIoT applications, challenges, and architectures. The main contributions of this paper are summarized as follows: we introduce potential MIoT applications; we point out the challenges of MIoT (i.e., the differences between MIoT and IoT); and we analyze the MIoT system architecture. Full article
(This article belongs to the Special Issue New Challenges and Trends in Marine Robotics)
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