Coverage path planning consists of finding the route which covers every point of a certain
area of interest. In recent times, Unmanned Aerial Vehicles (UAVs) have been employed in …

Observing mobile or static targets in the ground using flying drones is a common task for
civilian and military applications. We introduce the minimum cost drone location problem …

This article surveys recent advancements in strategy designs for persistent robotic
surveillance tasks, with a focus on stochastic approaches. The problem describes how …

This study introduces a control algorithm that, exploiting a completely decentralized
estimation strategy for the algebraic connectivity of the graph, ensures the connectivity …

Due to their agility, cost-effectiveness, and high maneuverability, Unmanned Aerial Vehicles
(UAVs) have attracted considerable attention from researchers and investors alike. Path …

This paper addresses the mobile targets covering problem by using unmanned aerial
vehicles (UAVs). It is assumed that each UAV has a limited initial energy and the energy …

In this paper, we consider the problem of planning a path for a robot to monitor a known set
of features of interest in an environment. We represent the environment as a graph with …

Coverage path planning with unmanned aerial vehicles (UAVs) is a core task for many
services and applications including search and rescue, precision agriculture, infrastructure …

Patrolling indoor infrastructures with a team of cooperative mobile robots is a challenging
task, which requires effective multi-agent coordination. Deterministic patrol circuits for …

This paper focuses on the problem of patrolling an environment with a team of autonomous
agents. Given a set of strategically important locations (viewpoints) with different priorities …