This paper aims to address a challenging problem of a drone swarm for a specific mission
by reaching a desired region, through an unknown environment. A bio-inspired flocking …

Flocking navigation, involving alignment-guaranteed path following and collision avoidance
against obstacles, remains to be a challenging task for drones. In this paper, we investigate …

Unmanned Aerial Vehicles (UAVs), commonly known as drones, are omnipresent and have
grown in popularity due to their wide potential use in many civilian sectors. Equipped with …

Individual agents in natural systems like flocks of birds or schools of fish display a
remarkable ability to coordinate and communicate in local groups and execute a variety of …

In recent years unmanned aerial vehicles (UAVs) have become smaller, cheaper, and more
efficient, enabling the use of multiple autonomous drones where previously a single, human …

This paper presents a distributed swarm system for small fixed-wing unmanned aerial
vehicles (UAVs). In particular, to perform various missions with multiple UAVs that are …

Unmanned aerial vehicle (UAV) flocking control with obstacle avoidance is a many-objective
optimization problem for centralized algorithms. A UAV flocking distributed optimization …

Two important aspects in dealing with autonomous navigation of a swarm of drones are
collision avoidance mechanism and formation control strategy; a possible competition …

Abstract Unmanned Aerial Vehicles (UAVs) have a great potential to support search tasks in
unstructured environments. Small, lightweight, low speed and agile UAVs, such as …

Abstract Unmanned Aerial Vehicle (UAV) swarms, also known as drone swarms, have been
a subject of extensive research due to their potential to enhance monitoring, surveillance …