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 …

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 …

Searching in a denied environment is challenging for swarm robots as no assistance from
GNSS, mapping, data sharing, and central processing is allowed. However, using olfactory …

Deploying aerial swarm robotic systems in real-life scenarios can be challenging. Using
them to monitor wildfires requires the system to be easily used by a swarm operator. To …

Inspired by biological swarms, collective motions such as flocking of multiple agents can be
generated by local interactions. Nevertheless, most of the current swarm models cannot …

This paper proposes a formation control algorithm based on a flocking approach to
coordinate a team of quadro-tors. A flock formation control algorithm aims to respect for …

This paper aims to implement and validate the flocking approaches known as Olfati-Saber
and Vásárhelyi algorithms that are originally developed for fully-actuated systems for …

Natural phenomena, such as thermal soaring of birds, gravitational settling of inertial
particles in turbulent flows and acrobatic feats performed by flying insects, can inspire …

The rapid development of unmanned aerial vehicle (UAV) or drone capabilities in the past
decade has significantly expanded the commercial, military, and consumer applications for …

The use of multi-robot teams for field missions is increasing in number and scope, requiring
command and control interfaces to be adapted to the operator's needs. Instead of working …