The task of cooperative surveillance of pre-selected Areas of Interest (AoI) in outdoor
environments by groups of closely cooperating Micro Aerial Vehicles (MAVs) is tackled in …

An algorithm for autonomous deployment of groups of Micro Aerial Vehicles (MAVs) in the
cooperative surveillance task is presented in this paper. The algorithm enables to find a …

This paper deals with the problem of deploying a team of flying robots to perform
surveillance-coverage missions over a terrain of arbitrary morphology. In such missions, a …

The problem of deploying a team of flying robots to perform surveillance coverage missions
over an unknown terrain of complex and non-convex morphology is presented. In such a …

In the task of cooperative surveillance using Micro Aerial Vehicles (MAVs), MAVs
cooperatively observe a given set of Areas of Interest (AoI). The missions are usually …

The objective of this paper is to present a strategy to safely move a robot in an unknown and
complex environment where people are moving and interacting. The robot, by using only its …

The SFly project is an EU-funded project, with the goal to create a swarm of autonomous
vision controlled micro aerial vehicles. The mission in mind is that a swarm of MAV's …

This paper addresses the problem of coordinating a team of mobile autonomous sensor
agents performing a cooperative mission while explicitly avoiding inter-agent collisions in a …

The goal of search is to maximize the probability of target detection while covering most of
the environment in minimum time. Existing approaches only consider one of these …

The notion of stochastic stability is used in game theoretic learning to characterize which
joint actions of players exhibit high probabilities of occurrence in the long run. This paper …