A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges

P McEnroe, S Wang, M Liyanage - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The latest 5G mobile networks have enabled many exciting Internet of Things (IoT)
applications that employ unmanned aerial vehicles (UAVs/drones). The success of most …

Sensors and measurements for UAV safety: An overview

E Balestrieri, P Daponte, L De Vito, F Picariello… - Sensors, 2021 - mdpi.com
Unmanned aerial vehicles'(UAVs) safety has gained great research interest due to the
increase in the number of UAVs in circulation and their applications, which has inevitably …

Swarm robotics: Past, present, and future [point of view]

M Dorigo, G Theraulaz, V Trianni - Proceedings of the IEEE, 2021 - ieeexplore.ieee.org
Swarm robotics deals with the design, construction, and deployment of large groups of
robots that coordinate and cooperatively solve a problem or perform a task. It takes …

Optimized flocking of autonomous drones in confined environments

G Vásárhelyi, C Virágh, G Somorjai, T Nepusz… - Science Robotics, 2018 - science.org
We address a fundamental issue of collective motion of aerial robots: how to ensure that
large flocks of autonomous drones seamlessly navigate in confined spaces. The numerous …

Multiple UAV systems: A survey

G Skorobogatov, C Barrado, E Salamí - Unmanned Systems, 2020 - World Scientific
Nowadays, Unmanned Aerial Vehicles (UAVs) are used in many different applications.
Using systems of multiple UAVs is the next obvious step in the process of applying this …

Graph-based multi-agent reinforcement learning for large-scale UAVs swarm system control

B Zhao, M Huo, Z Li, Z Yu, N Qi - Aerospace Science and Technology, 2024 - Elsevier
In this study, a novel graph-embedding technique based on a graph neural network (GNN)
is proposed to identify the topology in the motion of a unmanned aerial vehicles (UAV) …

Qualitative and quantitative risk analysis and safety assessment of unmanned aerial vehicles missions over the internet

A Allouch, A Koubaa, M Khalgui, T Abbes - Ieee Access, 2019 - ieeexplore.ieee.org
In the last few years, unmanned aerial vehicles (UAVs) are making a revolution as an
emerging technology with many different applications in the military, civilian, and …

UAV sensor data applications with deep neural networks: A comprehensive survey

HV Dudukcu, M Taskiran, N Kahraman - Engineering Applications of …, 2023 - Elsevier
Abstract The use of Unmanned Aerial Vehicles (UAVs) has become increasingly popular in
recent years, leading to a surge in research on this topic that is widely represented in the …

Swarm-GPT: Combining large language models with safe motion planning for robot choreography design

A Jiao, TP Patel, S Khurana, AM Korol, L Brunke… - arxiv preprint arxiv …, 2023 - arxiv.org
This paper presents Swarm-GPT, a system that integrates large language models (LLMs)
with safe swarm motion planning-offering an automated and novel approach to deployable …

Large-scale fixed-wing UAV swarm system control with collision avoidance and formation maneuver

J Li, Y Fang, H Cheng, Z Wang, Z Wu… - IEEE Systems …, 2022 - ieeexplore.ieee.org
In this article, a distributed control algorithm for a large-scale fixed-wing unmanned aerial
vehicle (UAV) swarm system of collision avoidance and formation maneuver is proposed …