Special Issue "New Solutions for Robotic Swarms in Sea Operations"

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

Deadline for manuscript submissions: 31 July 2019

Special Issue Editors

Guest Editor
Prof. José-Fernán Martínez

Department of Telematics and Electronic Engineering, ETSIS de Telecomunicación, Universidad Politécnica de Madrid, Spain
Website | E-Mail
Interests: autonomy and cooperation; ubiquitous computing and internet of things (IoT); cyber physical systems (CPS); underwater; ground and aerial cooperating robots; embedded systems; distributed systems and software architectures; next-generation telematics networks and services
Guest Editor
Dr. Pedro Castillejo Parrilla

Group of Next-Generation Networks and Services – GryS, ETSIS de Telecomunicación, Universidad Politécnica de Madrid, Spain
Website | E-Mail
Interests: cyber physical systems (CPS); Internet of things (IoT); middleware solutions; security; privacy; ubiquitous computing; blockchain applications

Special Issue Information

Dear Colleagues,

Today, a significant number of offshore operations include intervention of divers in hazardous environments, representing an overdependence for the development of the maritime industry. Unmanned underwater vehicles could represent a solution, but they are tailor-made for specific task and difficult to operate, being this in many case extremely expansive. In addition, the operation complexity could not be carried out for a single vehicle even with some help.

To expand the use of autonomous underwater vehicles (AUVs), autonomous surface vehicles (ASVs), remotely operated underwater vehicles (ROVs) or unmanned aerial vehicles (UAVs) to facilitate the creation, planning and execution of maritime and offshore operations by having a swarms of those vehicles cooperating each other in an intelligent way, thereby making autonomous operations a viable option for new and existing industries. This will reduce the operational cost, increase the safety of tasks and contribute to expand the offshore sector. This approach comes with many technological challenges that are yet to be solved.

This Special Issue focuses on novel and innovative solutions for swarms cooperative robot systems in underwater environments. To this purpose, high-quality contributions from both academia and industry are welcome.

Potential topics include, but are not limited to:

  • Distributed platform and architectures for integrating and coordinating underwater robotics vehicles: data modelling and context awareness, IoT middleware solutions.
  • Solutions for sensors and processing algorithms for underwater environments: data processing, 3D mapping, landmark extraction, map matching, relocation.
  • Solutions for underwater communication systems: advanced networking, integrated over and underwater communications, high speed underwater communication, integration of heterogeneous underwater communication systems.
  • Design and development of embedded architecture and mission management solutions: mission management (planning, re-planning, monitoring, etc.), software architecture and its evaluation over simulated, experimental or real scenarios.
  • Autonomous navigation and semi-autonomous manipulation: simulation tool for underwater vehicles, motion planning, hybrid acoustic and radio frequency communication and control for homing applications.
  • Development methodologies and novel designs for autonomous maritime missions including HMI designs, data formatting and transfer challenges.

Prof. Dr. José-Fernán Martínez
Dr. Pedro Castillejo Parrilla
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 papers will be 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 1500 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.

Published Papers (2 papers)

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Research

Open AccessArticle Simulation Models for Offshore Port Service Concepts
Appl. Sci. 2019, 9(3), 584; https://doi.org/10.3390/app9030584
Received: 14 December 2018 / Revised: 31 January 2019 / Accepted: 1 February 2019 / Published: 11 February 2019
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Abstract
Offshore port service concepts were developed to flexibly respond to the emergence of large container ships and the increase in port trade volume. As one such offshore service concept, a mobile harbor system has recently been proposed. Although it is possible to effectively [...] Read more.
Offshore port service concepts were developed to flexibly respond to the emergence of large container ships and the increase in port trade volume. As one such offshore service concept, a mobile harbor system has recently been proposed. Although it is possible to effectively increase the capacity of existing ports through these mobile harbor systems, the methodology for evaluating the performance of a traditional port is limited when applied to evaluating the performance of the mobile harbor system. In this study, we develop a simulation model to analyze the mobile harbor system. The simulation model reflects the operating characteristics of the mobile harbor, and the performance metric of the system can be derived from the model. The results can be applied to capacity planning of a port system with a method that reduces search space. We applied our method to the Surabaya port in Indonesia to derive the optimal mobile harbor design that satisfies the required service level. Full article
(This article belongs to the Special Issue New Solutions for Robotic Swarms in Sea Operations)
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Open AccessArticle A Collaborative Human-Robot Framework for Visual Topological Mapping of Coral Reefs
Appl. Sci. 2019, 9(2), 261; https://doi.org/10.3390/app9020261
Received: 30 November 2018 / Revised: 25 December 2018 / Accepted: 4 January 2019 / Published: 12 January 2019
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Abstract
One of the most important tasks when creating a map of visual information obtained from different agents is finding common locations between the sets of images that enable them to be fused into a single representation. Typical approaches focus on images obtained from [...] Read more.
One of the most important tasks when creating a map of visual information obtained from different agents is finding common locations between the sets of images that enable them to be fused into a single representation. Typical approaches focus on images obtained from the same agent. However, in this paper, we focus on recognizing the same places in images captured by different agents to create a topological map of coral reefs. The main components of the proposed method are the voting scheme to find a sparse similarity matrix between different frames and an effective method to match sequences of images exploiting the sparsity of the resulting similarity matrix. We have applied our method to sequences of images obtained from coral reef explorations performed by different agents. The presented method shows a good performance compared to other well-established methods such as FABMAP. This demonstrates its ability to find common locations from visual information gathered from different sources, which eases the collaboration between humans and robots to map the environment. Full article
(This article belongs to the Special Issue New Solutions for Robotic Swarms in Sea Operations)
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