This work presents a review and discussion of the challenges that must be solved in order to
successfully develop swarms of Micro Air Vehicles (MAVs) for real world operations. From …

The applications of remote sensing technologies to precision agriculture were reviewed. The
different uses of conventional satellites and unmanned aerial vehicles (UAVs) for data …

In practice, the dual constraints of limited interaction capabilities and system uncertainties
make it difficult for large-scale multiagent systems (MASs) to achieve intelligent collaboration …

Classical models of aerial swarms often describe global coordinated motion as the
combination of local interactions that happen at the individual level. Mathematically, these …

Decentralized deployment of drone swarms usually relies on inter-agent communication or
visual markers that are mounted on the vehicles to simplify their mutual detection. This letter …

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 …

Among the available solutions for drone swarm simulations, we identified a lack of
simulation frameworks that allow easy algorithms prototyping, tuning, debugging and …

In order to solve the problem that the standard extended Kalman filter (EKF) algorithm has
large errors in Unmanned Aerial Vehicle (UAV) multi-sensor fusion localization, this paper …

We address the detection, tracking, and relative localization of the agents of a drone swarm
from a human perspective using a headset equipped with a single camera and an Inertial …

This article investigates the multirobot cooperative navigation problem based on raw visual
observations. A fully end-to-end learning framework is presented, which leverages graph …