Scope

Drones have transformed into versatile tools with applications across agriculture, environmental monitoring, delivery, and surveillance, revolutionizing operations through real-time data collection and efficient task execution in diverse industries. As technology continues to evolve, the integration of robots alongside drones further enhances their capabilities. Robots can collaborate with drones to perform complex tasks and navigate challenging terrains, increasing efficiency and expanding the scope of applications.

However, challenges impede their optimal performance. Limited energy capacity restricts operational time, especially in extended or remote missions. Moreover, the integration of robots introduces additional complexities in coordination, communication, and task distribution between heterogeneous agents. Such challenges can be solved based on a broad spectrum of algorithms, ranging from traditional combinatorial optimization methods to modern machine learning techniques. Algorithms play a pivotal role in enhancing the efficiency and autonomy of drone and robot systems, enabling them to adapt to dynamic environments, optimize resource utilization, and make intelligent decisions in real-time.

For this Special Track, ASDRoNet 2024, we seek submission of high-quality papers addressing both theoretical and practical aspects of drone and robot research. Topics of interest include, but are not limited to, route planning, task allocation, resource management, scheduling, and network design for integrated drone and robot fleets. Furthermore, submissions are encouraged to delve into algorithmic advancements, computational complexity analyses, and real-world case studies that demonstrate the synergy between drones and robots in various applications.

Topics of Interest

Topics of interest include, but are not limited to:

Autonomous sensing
Topology monitoring
Remote sensing networks
Communication protocols
Modeling and analysis
Precision agriculture
Crops monitoring in agriculture
Bugs monitoring in agriculture
Environmental monitoring
Autopilot and UAS autonomy
Path planning and scheduling
Parcel delivery
Cellular networks
Constrained and multi-objectives problems
Sensors localization
Tracking techniques
Cooperative control of multiple vehicles
Cyber-security communications
Optimal deployment strategies
Test-beds and experimental results
Energy-efficient communications
Machine learning for communications

Important dates

Abstract Submission:May 25, 2024 ~~June 1, 2024~~
Paper Submission: ~~June 1, 2024~~ ~~June 15 2024~~ ~~(FIRM)~~
Acceptance Notification: July 13, 2024
Camera Ready: July 25, 2024
Early Registration: TBD

Author Information

Authors are invited to submit papers for presentation at the conference, describing original, previously unpublished work, not currently under review by another conference, workshop, or journal. Papers must be submitted electronically to EDAS in PDF format, US-Letter size (not A4), with all fonts embedded (the PDF-A standard meets this requirement). Please format your submission using the IEEE templates found here.

Paper submissions may be up to six (6) camera-ready pages, 10 pt font in two-column IEEE format, excluding bibliography. Papers are expected to describe fully developed ideas with a thorough evaluation.

Note that ASDRoNet does not follow the double-blind review policy. The names and affiliations of all the authors must be present in the submitted manuscript.

Paper registration and submission will be through EDAS.

Special Issue

Selected papers will be invited to the special issue Applications-Driven UAV Routing and Scheduling Algorithms for Autonomous Transportation Systems of ACM Journal on Autonomous Transportation Systems.

Accepted Papers

Allan J Luedeman, Nicholas Baum and Kemal Akkaya (Florida International University, USA); Andrew Quijano (New York University & Amazon, USA), Privacy-Preserving Drone Navigation Through Homomorphic Encryption for Collision Avoidance
Thomas Hänel and Lennart Kaiser (Osnabrück University, Germany), Estimating Soil Moisture with COTS Hardware Using BLE’s Angle-Of-Arrival Feature
Chuhao Qin, Alexander Robins, Callum Lillywhite-Roake, Adam Pearce, Hritik Mehta, Scott James, Tsz Ho Wong and Evangelos Pournaras (University of Leeds, United Kingdom (Great Britain), M-SET: Multi-Drone Swarm Intelligence Experimentation with Collision Avoidance Realism
Francesco Betti Sorbelli (University of Perugia, Italy); Punyasha Chatterjee (Jadavpur University, India); Federico Corò (University of Padova, Italy); Sajjad Ghobadi and Cristina M. Pinotti (University of Perugia, Italy), Scheduling of Multiple UAVs in BVLoS Operations Along Unidirectional and Bidirectional Paths

Committees

Special Track Chairs

Francesco Betti Sorbelli (francesco.bettisorbelli@unipg.it), Assistant Professor, University of Perugia, Italy
Federico Corò (federico.coro@unipd.it), Assistant Professor, University of Padua, Italy
Cristina M. Pinotti (cristina.pinotti@unipg.it), Professor, University of Perugia, Italy

Program Committee

Lorenzo Palazzetti, PhD Student, University of Florence, Italy
Sajjad Ghobadi, Postdoctoral Researcher, University of Perugia, Italy
Punyasha Chatterjee, Associate Professor, Jadavpur University, India
Alfredo Navarra, Professor, University of Perugia, Italy

Publicity Chair

Lorenzo Palazzetti, PhD Student, University of Florence, Italy

Web Chair

Lorenzo Palazzetti, PhD Student, University of Florence, Italy