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Robotics
Special Issues
Autonomous Marine Vehicles
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Autonomous Marine Vehicles

A special issue of Robotics (ISSN 2218-6581). This special issue belongs to the section "Aerospace Robotics and Autonomous Systems".

Deadline for manuscript submissions: closed (15 July 2022) | Viewed by 4540

Special Issue Editors

Dr. Agnieszka Lazarowska

E-Mail Website
Guest Editor
Department of Ship Automation, Faculty of Marine Electrical Engineering, Gdynia Maritime University, 83 Morska Str., 81-225 Gdynia, Poland
Interests: engineering; computer science; automation and control systems; transportation; robotics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Sunan Huang

E-Mail Website
Guest Editor
Temasek Laboratories, National University of Singapore, Singapore, Singapore
Interests: fault diagnosis and fault-tolerant control; adaptive control; collision avoidance and control of multi-UAVs
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Autonomous marine vehicles are a dynamically developing area of research. Autonomous vehicles classified into this group include i.a. maritime autonomous surface ships (MASS), unmanned surface vehicles (USV), and unmanned underwater vehicles (UUV). The aim of this Special Issue is to present recent advances related to navigation, guidance, and motion control of such vehicles; review papers showing the current state of the art in this topic of research are also welcomed.

Topics of interest include (but are not limited to) the following issues concering Autonomous Marine Vehicles::

• Collision avoidance
• Path planning
• Modeling, Control Design, and Simulation
• Sensors and Navigation Systems
• Guidance Systems

Dr. Agnieszka Lazarowska
Prof. Dr. Sunan Huang
Guest Editors

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. Robotics 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 1800 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

  • Autonomous Marine Vehicles: Modeling, Control Design, and Simulation
  • Autonomous navigation
  • Autonomous vessels
  • Collision avoidance
  • Maritime Autonomous Surface Ships (MASS)
  • Path planning
  • Safe navigation
  • Sensors and Navigation Systems
  • Unmanned Surface Vehicles (USV)
  • Unmanned Underwater Vehicles (UUV)

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Published Papers (1 paper)

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25 pages, 13365 KiB  
Article
A Laser Vision System for Relative 3-D Posture Estimation of an Underwater Vehicle with Hemispherical Optics
by Christos C. Constantinou, George P. Georgiades and Savvas G. Loizou
Robotics 2021, 10(4), 126; https://doi.org/10.3390/robotics10040126 - 22 Nov 2021
Cited by 2 | Viewed by 3364
Abstract
This paper describes the development and experimental validation of algorithms for a novel laser vision system (LVS), suitable for measuring the relative posture from both solid and mesh-like targets in underwater environments. The system was developed in the framework of the AQUABOT project, [...] Read more.
This paper describes the development and experimental validation of algorithms for a novel laser vision system (LVS), suitable for measuring the relative posture from both solid and mesh-like targets in underwater environments. The system was developed in the framework of the AQUABOT project, a research project dedicated to the development of an underwater robotic system for inspection of offshore aquaculture installations. In particular, an analytical model for three-medium refraction that takes into account the nonlinear hemispherical optics for image rectification has been developed. The analytical nature of the model allows the online estimation of the refractive index of the external medium. The proposed LVS consists of three line-lasers within the field of view of the underwater robot camera. The algorithms that have been developed in this work provide appropriately filtered point-cloud datasets from each laser, as well as high-level information such as distance and relative orientation of the target with respect to the ROV. In addition, an automatic calibration procedure, along with the accompanying hardware for the underwater laser vision system has been developed to reduce the calibration overhead required by regular maintenance operations for underwater robots operating in seawater. Furthermore, a spatial image filter was developed for discriminating between mesh and non-mesh-like targets in the LVS measurements. Finally, a set of experiments was carried out in a controlled laboratory environment, as well as in real conditions at offshore aquaculture installations demonstrating the performance of the system. Full article
(This article belongs to the Special Issue Autonomous Marine Vehicles)
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