In this study, a novel graph-embedding technique based on a graph neural network (GNN)
is proposed to identify the topology in the motion of a unmanned aerial vehicles (UAV) …

The UAV pursuit-evasion problem focuses on the efficient tracking and capture of evading
targets using unmanned aerial vehicles (UAVs), which is pivotal in public safety …

The development of unmanned aerial vehicles (UAVs) has been gaining momentum in
recent years owing to technological advances and a significant reduction in their cost. UAV …

A single sheepdog can bring together and manoeuvre hundreds of sheep from one location
to another. Engineers and ecologists are fascinated by this sheepdog herding because of …

Swarm intelligence has become a hot research field of artificial intelligence. Considering the
importance of swarm intelligence for the future development of artificial intelligence, we …

Driven by the vision of real‐time applications and smart communication, recent years have
witnessed a paradigm shift from centralized cloud computing toward distributed edge …

In this article, a distributed control algorithm for a large-scale fixed-wing unmanned aerial
vehicle (UAV) swarm system of collision avoidance and formation maneuver is proposed …

Shepherding, the task of guiding a herd of autonomous individuals in a desired direction, is
an essential skill employed in the herding of animals, crowd control, and evacuation …

This article presents a novel control strategy to herd groups of noncooperative evaders by
means of a team of robotic herders. In herding problems, the motion of the evaders is …

Autonomous shepherding is a bio-inspired swarm guidance approach, whereby an artificial
sheepdog guides a swarm of artificial or biological agents, such as sheep, towards a goal …