… propose a distributed control framework to coordinate a team of unmanned aerial vehicles
(… Our approach outperformed prior work for distributed control of UAVs for wildfire tracking as …

… Abstract—In this paper, we propose a drone-based wildfire monitoring system for remote …
unmanned aerial vehicles (UAVs) with the main advantage of providing on-demand monitoring …

… Our study compares PCD with a reactive Deep Q-Network (DQN) strategy on Unmanned
Aerial Vehicles (UAV) in wildfire tracking adaptation scenarios. Results show how PCD …

… teams of robot and Unmanned Aerial Vehicles (UAVs) have … distributed control framework
for a team of UAVs to be capable of closely monitoring a wildfire in open space in order to track …

… distributed manner. Past work has shown that potential fields are suitable for distributed control
… requirements, can be visualized to help explain control behavior, and have been used to …

… Unmanned Aerial Vehicles (UAVs) to track wildfires. Specifically, we attack the problem of
distributed autonomous control … evolutionary distributed control, the fire influence map, and our …

… propose a distributed control framework to coordinate a team of unmanned aerial vehicles
(… the UAVs to actively infer the wildfire dynamics and parameters, track and monitor the fire …

… knowledge, a set of distributed control laws is iteratively designed … applications in many
fields, such as forest fire detection [2… Define the altitude tracking error of the ith follower UAV with …

… aerial vehicles … monitoring it will be interesting to compare it with deep learning and
reinforcements learning methods that were seen in literature and other distributed control frameworks…

… A distributed control framework for a team of unmanned aerial vehicles for dynamic wildfire
tracking. In Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots …