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 ability to collectively choose the best among a finite set of alternatives is a fundamental
cognitive skill for robot swarms. In this paper, we propose a formal definition of the best-of-n …

UAV swarm is a typical application of multi-agent system and consists of a certain number of
single-or multi-function UAVs. This paper mainly focuses on the motion consensus and …

The decentralized aggregate motion of many individual robots is known as robotic flocking.
The study of robotic flocking has received considerable attention in the past twenty years. As …

Animal swarms displaying a variety of typical flocking patterns would not exist without the
underlying safe, optimal and stable dynamics of the individuals. The emergence of these …

We discuss state-of-the-art intelligent robotic aircraft with the special focus on evolutionary
autopilots for small unmanned aerial vehicles (UAVs). Under the umbrella of adaptive …

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 …

In this paper, we present our recent advances in both theoretical methods and field
experiments for the coordinated control of miniature fixed-wing unmanned aerial vehicle …

Detection and distance estimation of micro unmanned aerial vehicles (mUAVs) is crucial for
(i) the detection of intruder mUAVs in protected environments;(ii) sense and avoid purposes …

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 …