Deep reinforcement learning has produced many success stories in recent years. Some
example fields in which these successes have taken place include mathematics, games …

Abstract Unmanned Aerial Vehicles (UAVs) are now used in multiple sectors for a vast array
of purposes. These vehicles working in swarms can be used for reconnaissance, search and …

Path Planning methods for the autonomous control of Unmanned Aerial Vehicle (UAV)
swarms are on the rise due to the numerous advantages they bring. There are increasingly …

With the further development of Unmanned Aerial Vehicle (UAV) technologies, research on
multi-UAV formations have also received more attention. Unmanned Aerial Vehicles (UAVs) …

Federated learning (FL) is a collaborative machine-learning (ML) framework particularly
suited for ML models requiring numerous training samples, such as Convolutional Neural …

Self-organisation in robot swarms can produce collective behaviours, particularly through
spatial self-organisation. For example, it can be used to ensure that the robots in a swarm …

We propose an extension of the particle swarm optimization (PSO) algorithm for each
particle to store multiple global optima internally for identifying multiple (top-k) peaks in static …

In the envisioned future, city skies will be bustling with Unmanned Aerial Vehicles (UAVs)
catering to the growing needs for rapid urban transport, ranging from parcel deliveries to air …

Flocks navigate for large distances, moving in a coherent path through space, under mutual
influence of flock members. Such influences may include repulsion, orientation, and …