Recent Advances in Aerial and Ground Robotic Swarm Networks

A special issue of Drones (ISSN 2504-446X). This special issue belongs to the section "Drone Design and Development".

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 5738

Special Issue Editors


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Guest Editor
Department of Computer Science and Engineering, University of Bologna, 40126 Bologna, Italy
Interests: unmanned aerial networks; Internet of Things; edge computing
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Autonomous Robotics Research Centre, Technology Innovation Institute (TII), 9639 Abu Dhabi, United Arab Emirate
Interests: unmanned aerial networks; swarm robotics and networking; Internet of Things
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to invite you to submit manuscripts to the MDPI Drones Special Issue on “Recent advances in Aerial and Ground Robotic Swarm Networks”.

From disaster recovery to large-scale area monitoring, several emerging use-case of drone technologies can benefit from the deployment of self-organizing aerial networks, where multiple drones move and work as a coordinated swarm. Aerial nodes may communicate with static and mobile ground devices, such as sensors and rovers, hence opening the way to autonomous robotic systems whose benefits are limited only by imagination. At the same time, in order to enable the robotic aerial/ground swarms to accomplish complex sensing and actuation tasks, novel research challenges must be addressed, related, e.g., to robotic swarm control, air-to-air and air-to-ground communications, edge/cloud data management, integration with terrestrial infrastructures. The Special Issues aims at investigating the advances on the design, specification, and implementation of architectures, algorithms, applications, and protocols for current and future ground robotic and aerial networks.

The Special Issue is inspired by the success of the IEEE WISARN 2022 workshop (https://wisarn2022.nws.cs.unibo.it/), organized by the editors and collaborators, held in conjunction with the prestigious IEEE ICDCS 2022 conference. The Special Issue will host selected, extended version of papers accepted at the WISARN 2022 (and subject to a peer-review process), as well as contributions from the open call addressing the design, implementation and evaluation of wireless ground robotic and aerial networks.

Possible topics include, but are not limited to:

  • Machine Learning-based communication and computing in robotic networks;
  • Communication protocols and wireless technologies for robotic systems;
  • UAV and robot networks in 5G/6G and LEO satellite systems;
  • UAV-aided wireless sensor networks;
  • Drone/Robot assisted edge computing;
  • Cloud/fog/edge computing platforms in robotic systems;
  • Data management, gathering and aggregation issues in robotic systems;
  • Modeling and control of fleet of UAVs;
  • Autonomic and self-organizing coordination and communication in robotic networks;
  • Sensor-robot and robot-robot coordination;
  • Energy-efficient and real-time communication protocols in Robot and UAV networks;
  • Distributed control and management for Robot and UAV network deployments;
  • Map exploration and pattern formation of mobile robots;
  • Robot task assignment;
  • Biologically inspired communication systems for Robot and UAV networks;
  • Endurance Management;
  • Context-awareness and decision making for UAV systems;
  • Path planning, and target tracking in UAV networks;
  • Optimal control of networked robots;
  • Quality of service, security, and robustness issues;
  • Novel applications of Robot and UAV networks;
  • Blockchain-based robotic networks;
  • UAV-based IoT applications.

Dr. Marco Di Felice
Prof. Dr. Enrico Natalizio
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. Drones 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

  • drones
  • unmanned aerial and robotic networks
  • swarm formation and control
  • communication protocols and wireless technologies for robotic systems
  • autonomic and self-organizing coordination and communication in robotic networks

Published Papers (2 papers)

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Research

14 pages, 2284 KiB  
Article
Phoenix: Aerial Monitoring for Fighting Wildfires
by Sultan Çoğay and Gökhan Seçinti
Drones 2023, 7(1), 19; https://doi.org/10.3390/drones7010019 - 27 Dec 2022
Cited by 1 | Viewed by 2225
Abstract
Wildfires have become a global problem in recent years. Authorities are looking for various technological and auxiliary solutions to deal with this environmental crisis. One of the advances being utilized in the forest fire field and its aftermath is unmanned aerial vehicles (UAVs). [...] Read more.
Wildfires have become a global problem in recent years. Authorities are looking for various technological and auxiliary solutions to deal with this environmental crisis. One of the advances being utilized in the forest fire field and its aftermath is unmanned aerial vehicles (UAVs). UAVs play a fundamental role in wildfire-fighting solutions due to their ease of use and high accessibility. However, the energy constraints of a single UAV and the fire areas make monitoring challenging. Therefore, to address these issues, we propose a monitoring application called Phoenix. We make three main contributions with the Phoenix application. Firstly, we implement a monitoring application consisting of path planning, graph engine, and modified TSP algorithms to help the UAV’s fire tracking and shorten its route. Secondly, we develop a network architecture to transfer the tracking data we obtained to provide information to the fire brigade and other firefighting units. Thirdly, we provide energy optimization for a single UAV mission. The first part of the application uses the elliptical fire model and simulation. In addition, Phoenix utilizes fuel moisture content (fmc) data of the fire zone to analyze the critical fire regions. The simulation results show that our Phoenix application reduces energy consumption by 38 % and enhances coverage by up to 51%. Full article
(This article belongs to the Special Issue Recent Advances in Aerial and Ground Robotic Swarm Networks)
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18 pages, 25369 KiB  
Article
Control Optimization of Small-Scale Thrust-Vectoring Vertical/Short Take-Off and Landing Vehicles in Transition Phase
by Zheng Gong, Shengcheng Mao, Zian Wang, Zan Zhou, Chengchuan Yang and Zhengxue Li
Drones 2022, 6(5), 129; https://doi.org/10.3390/drones6050129 - 17 May 2022
Cited by 1 | Viewed by 2802
Abstract
The core of the short takeoff and landing problem in thrust-vectoring V/STOL vehicles is the tilt angle control of the thrust vector nozzles. This work resolves it by figuring out the optimal tilt angle time history with optimization methods. Since the optimization process [...] Read more.
The core of the short takeoff and landing problem in thrust-vectoring V/STOL vehicles is the tilt angle control of the thrust vector nozzles. This work resolves it by figuring out the optimal tilt angle time history with optimization methods. Since the optimization process is constrained by the transition corridor of the vehicle and the mission requirements, the transition corridor is firstly established by the AES theory with the longitudinal model of the V/STOL protype, where the jet-induced effect of the 3BSD nozzle and the lift fan are especially considered. In addition, the control redundancy caused by the multiple physical control actuators is addressed by a suitable control allocation and flight-mode-based control strategy, which ensures a smooth conversion. By establishing appropriate mission references and optimization constraints, the optimal control strategy and the corresponding transition process are obtained, based on the direct inverse and SQP algorithms. Full article
(This article belongs to the Special Issue Recent Advances in Aerial and Ground Robotic Swarm Networks)
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