Collision-avoiding flocking with multiple fixed-wing UAVs in obstacle-cluttered environments: a task-specific curriculum-based MADRL approach
Multiple unmanned aerial vehicles (UAVs) are able to efficiently accomplish a variety of
tasks in complex scenarios. However, developing a collision-avoiding flocking policy for …
tasks in complex scenarios. However, developing a collision-avoiding flocking policy for …
Swarms of flying robots in unknown environments
E Soria - Science Robotics, 2022 - science.org
Swarms of flying robots in unknown environments | Science Robotics news careers commentary
Journals Science Science brought to you byGoogle Indexer Log in science science advances …
Journals Science Science brought to you byGoogle Indexer Log in science science advances …
Pilot: High-precision indoor localization for autonomous drones
In many scenarios, unmanned aerial vehicles (UAVs), aka drones, need to have the
capability of autonomous flight to carry out their missions successfully. In order to fly …
capability of autonomous flight to carry out their missions successfully. In order to fly …
Graph attention mechanism based reinforcement learning for multi-agent flocking control in communication-restricted environment
To solve the poor performance of reinforcement learning (RL) in the multi-agent flocking
cooperative control under the communication-restricted environments, we propose a multi …
cooperative control under the communication-restricted environments, we propose a multi …
Distributed predictive drone swarms in cluttered environments
E Soria, F Schiano, D Floreano - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Recent works in aerial robotics show that the self-organized and cohesive flight of swarms
can emerge from the exchange of purely local information between neighboring agents …
can emerge from the exchange of purely local information between neighboring agents …
A multi-agent flocking collaborative control method for stochastic dynamic environment via graph attention autoencoder based reinforcement learning
J Xiao, G Yuan, Z Wang - Neurocomputing, 2023 - Elsevier
The environmental adaptability of the multi-agent flocking collaborative control system is
vital to practical applications. Focusing on the adaptive problem of multi-agent flocking …
vital to practical applications. Focusing on the adaptive problem of multi-agent flocking …
[HTML][HTML] Designing UAV swarm experiments: A simulator selection and experiment design process
The rapid advancement and increasing number of applications of Unmanned Aerial Vehicle
(UAV) swarm systems have garnered significant attention in recent years. These systems …
(UAV) swarm systems have garnered significant attention in recent years. These systems …
SmrtSwarm: A Novel Swarming Model for Real-World Environments
Drone swarms have gained a lot of popularity in recent times because, as a group, drones
can perform highly intelligent tasks. Drone swarms are strongly inspired by the flocking …
can perform highly intelligent tasks. Drone swarms are strongly inspired by the flocking …
Angle-constrained formation maneuvering of unmanned aerial vehicles
In a global positioning system (GPS)-denied environment, unmanned aerial vehicles (UAVs)
rely on local sensing-based formation maneuvering approaches for collective motion. To …
rely on local sensing-based formation maneuvering approaches for collective motion. To …
Cooperative navigation and guidance of a micro-scale aerial vehicle by an accompanying UAV using 3D LiDAR relative localization
A novel approach for cooperative navigation and guidance of a micro-scale aerial vehicle by
an accompanying Unmanned Aerial Vehicle (UAV) using 3D Light Detection and Ranging …
an accompanying Unmanned Aerial Vehicle (UAV) using 3D Light Detection and Ranging …