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Cooperative Robots and Sensor Networks

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (15 October 2021) | Viewed by 3846

Special Issue Editor


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Guest Editor
School of Engineering, University of Seville, Avda. Camino de los Descubrimientos, 41092 Seville, Spain
Interests: robot perception; cooperative perception; multi-robot systems; robot–sensor network cooperation; localization/mapping; SLAM; aerial robots
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Special Issue Information

Dear Colleagues,

Robots and sensor networks (SNs) are key technologies in the context of Internet-of-Things (IoT). In the last several years, advances in miniaturization, sensors/actuators, computing, batteries, and wireless intercommunication have boosted the development of networked robotic systems, sensor networks, and robot–SN cooperation schemes. Cooperative robot–SN schemes enable interesting synergies in many problems, providing unprecedented capabilities. The combined perception between distributed measurements from SN and robot measurements, the mobility of robots for transporting/deploying and localization, and robot–SN cooperation for measurement monitoring/collection are a few examples. Cooperative robots and static and mobile SNs pose challenging issues not only in their architectures, cooperation schemes, algorithms, protocols, perception techniques, planning, modelling, and security issues, but also in devices and hardware design, implementation, real-world deployments, and new applications.

This Special Issue expects innovative works and surveys to explore new trends, frontiers, and challenges in the field of cooperative robots and sensor networks including new architectures, techniques, and protocols, and well as implementation issues, devices, real-world deployments, and new applications. The topics of interest include, but are not limited to:

  • Robot–SN cooperation;
  • Robot cooperation;
  • Architectures for cooperation;
  • Robot–SN communication;
  • Distributed computation;
  • SN algorithms for cooperation with robots;
  • Robot–SN modeling, simulation, and performance;
  • Robot control and planning for integration with SNs;
  • Robot–SN perception;
  • Robot–SN security issues and protocols;
  • Robot–SN services and applications;
  • Robot–wearable device cooperation;
  • Devices and hardware design;
  • Testbeds;
  • Implementation issues;
  • Real-world deployments and lessons learned;
  • Applications: data collection, wireless aerial networks, target detection, smart cities, smart environments, smart homes, and monitoring, among many others.

Dr. José Ramiro Martínez-De-Dios
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. Sensors 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 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

  • Internet of Things
  • Sensor networks
  • Networked robots
  • Ubiquitous systems
  • Pervasive computing

Published Papers (1 paper)

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25 pages, 44781 KiB  
Article
The Internet of Cooperative Agents Architecture (X-IoCA) for Robots, Hybrid Sensor Networks, and MEC Centers in Complex Environments: A Search and Rescue Case Study
by Juan Bravo-Arrabal, Manuel Toscano-Moreno, J. J. Fernandez-Lozano, Anthony Mandow, Jose Antonio Gomez-Ruiz and Alfonso García-Cerezo
Sensors 2021, 21(23), 7843; https://doi.org/10.3390/s21237843 - 25 Nov 2021
Cited by 13 | Viewed by 2960
Abstract
Cloud robotics and advanced communications can foster a step-change in cooperative robots and hybrid wireless sensor networks (H-WSN) for demanding environments (e.g., disaster response, mining, demolition, and nuclear sites) by enabling the timely sharing of data and computational resources between robot and human [...] Read more.
Cloud robotics and advanced communications can foster a step-change in cooperative robots and hybrid wireless sensor networks (H-WSN) for demanding environments (e.g., disaster response, mining, demolition, and nuclear sites) by enabling the timely sharing of data and computational resources between robot and human teams. However, the operational complexity of such multi-agent systems requires defining effective architectures, coping with implementation details, and testing in realistic deployments. This article proposes X-IoCA, an Internet of robotic things (IoRT) and communication architecture consisting of a hybrid and heterogeneous network of wireless transceivers (H2WTN), based on LoRa and BLE technologies, and a robot operating system (ROS) network. The IoRT is connected to a feedback information system (FIS) distributed among multi-access edge computing (MEC) centers. Furthermore, we present SAR-IoCA, an implementation of the architecture for search and rescue (SAR) integrated into a 5G network. The FIS for this application consists of an SAR-FIS (including a path planner for UGVs considering risks detected by a LoRa H-WSN) and an ROS-FIS (for real-time monitoring and processing of information published throughout the ROS network). Moreover, we discuss lessons learned from using SAR-IoCA in a realistic exercise where three UGVs, a UAV, and responders collaborated to rescue victims from a tunnel accessible through rough terrain. Full article
(This article belongs to the Special Issue Cooperative Robots and Sensor Networks)
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