Communication and Networking for Swarms Robotics
The 5th IEEE International Workshop on Communication and Networking for Swarms Robotics is organized in conjunction with IEEE CCNC 2025 – IEEE Consumer Communications & Networking Conference.
Call for Papers
Recent advances in the field of telecommunications and electronics have led to the proliferation of autonomous robots in numerous novel application fields, from emergency situations to military applications, from infrastructure inspection to ambient monitoring services, where the utilization of multiple robots is essential in order to accomplish the desired task. Recent works have demonstrated the challenges of coordinating multiple robots in order to deploy robot networks with self-configuration and self-healing capabilities to guarantee service continuity, also in case of failures.
Starting from the unique requirements of a multi-robot system, Swarm Robotics is a complex approach that requires an understanding of how to define distributed systems to define self-organization behaviors. Swarm Robotics studies how to make robots collaborate and collectively solve a task where every robot contributes to the general task sharing the same higher-level objectives. To this end, communication wireless networks must be specifically designed in order to support the cooperation and collaboration inside the swarm.
This workshop invites original research articles and review articles that focus on communication networking problems in swarm robotics. Topics of interest include, but are not limited to:
- Communication Models and Protocols for Swarm Robotics
- Delay-Tolerant Applications for Swarm Robotics
- Fog and Edge Computing in Swarm Robotics
- 5G, beyond 5G, and 6G Integration with Swarm Robotics
- Satellite and Space Communications for Swarm Robotics
- Integration of Unmanned Aerial, Ground, and Underwater Vehicles in Swarm Robotics
- Localization, Navigation, and Dynamic Path Planning in Swarm Robotics
- Cooperative Control of Multiple Robots
- Security and Privacy in Swarm Robotics
- The Internet of Things (IoT) and the Web of Things (WoT) in Swarm Robotics
- Swarm Intelligence and Nature-Inspired Algorithm in Swarm Robotics
- Artificial Intelligence Applications in Swarm Robotics
- Federated Learning in Swarm Robotics
- Continual Learning and Adaptation for Swarm Robotics
- Novel applications for Swarm Robotics
Committees
General Chairs
- Angelo Trotta, University of Bologna, Italy
- Gökhan Seçinti, Istanbul Technical University, Turkey
- Nicola Roberto Zema, University of Paris-Saclay, France
- Zhangyu Guan, University at Buffalo, USA
Keynote
Trung Q. Duong
Canada Excellence Research Chair
Full Professor at Memorial University of Newfoundland, Canada
Biography
orial University of Newfoundland, Canada. His current research focuses on quantum machine learning, signal processing, real-time optimization, quantum optimization, 5G/6G wireless communications, Internet-of-Things (applied to healthcare, disaster management, energy, agriculture, environment, and smart cities). Currently, his main research interests in 5G/6G include:
- Joint optimal design for communications and computing
- Digital twin networks
- Integrated satellite and terrestrial networks
- Quantum machine learning for dynamic radio resource allocation in wireless networks
- Real-time optimisation for unmanned aerial vehicles (UAV)
- Semantic communications
- Integrated sensing and communications
- Physical layer security
He has established a strong record in these areas with 500+ publications (Google Scholar: 20,000+ citations, h-index of 76). He was the only UK-based researcher to have received both prestigious awards from the Royal Academy of Engineering: i) the Royal Academy of Engineering Research Fellowship (2015–2020) and ii) Research Chair of Royal Academy of Engineering (2020-2025). He has received $54+ million in research grants from Canada NSERC, EU Horizon, UK funding bodies (EPSRC, ESRC, Innovate UK, Royal Academy of Engineering, Royal Society, DfE, British Council), international funding bodies, and industry. He has served as an Editor for major technical journals including IEEE Trans. on Wireless Communications, IEEE Trans. on Communications, IEEE Trans. on Vehicular Technology, IEEE Wireless Communications Letters, IEEE Communications Letters, and IEEE Communications Surveys & Tutorials. He is an IEEE Fellow, AAIA Fellow, and a recipient of the prestigious Newton Prize awarded in 2017 by the UK Government.
Talk
Title: Hybrid Quantum-Classical Learning and Optimization for 6G Networks
Program
Date: Friday, 10 January 2025
Time: 14:00 – 17:00 (PST)
Room: LAUGHLIN 3
14:00 – 14:10
Opening Remarks
14:10 – 15:00
Keynote Session
Prof. Dr. Trung Q. Duong (Memorial University of Newfoundland, Canada)
15:00 – 15:20
Break
15:20 – 17:00
Paper Session
Spec-SCAN: Spectrum Learning in Shared Channel using Neural Networks
Raju Hazari (NITCalicut, India); Gaurav Singh (The University of Texas Arlington, USA); Devika Renjith, Divya Krishnan and Pavanitha B (NIT Calicut, India); Habeeb Olufowobi (University of Texas at Arlington, USA); Debashri Roy (The University of Texas Arlington, USA)
Can NR-V2X Sidelink support A2A links?
Vittorio Todisco and Alessandro Bazzi (University of Bologna, Italy)
Quality of Control based Resource Dimensioning for Collaborative Edge Robotics
Neelabhro Roy and Mani H Dhullipalla (KTH Royal Institute of Technology, Sweden); Gourav Prateek Sharma (KTH, Royal Institute of Technology, Sweden); Dimos Dimarogonas (KTH – The Royal Institute of Technology, Sweden); James Gross (KTH Royal Institute of Technology, Sweden)
MARS: Multi-Agent Deep Reinforcement Learning for Complex Environment Exploration
Francesco Gervino, Marcello Chiaberge, Andrea Eirale, Alessio Sacco, Guido Marchetto and Claudio E. Casetti (Politecnico di Torino, Italy)
Awareness Map Enabled Semi-Centralized MARL for Multi-Robot Collaboration
Ayesha Siddiqua and Siming Liu (Missouri State University, USA); Kevin Mouser (Pierce City High School, USA); Melony Harris (Fair Play High School, USA)