Abstract Path Planning problems with Unmanned Aerial Vehicles (UAVs) are among the
most studied knowledge areas in the related literature. However, few of them have been …

Swarm robotics is a field of multi‐robotics in which large number of robots are coordinated in
a distributed and decentralised way. It is based on the use of local rules, and simple robots …

Swarms of robots will revolutionize many industrial applications, from targeted material
delivery to precision farming. However, several of the heterogeneous characteristics that …

Swarm intelligence (SI) is concerned with the collective behaviour that emerges from
decentralised self-organising systems, whilst swarm robotics (SR) is an approach to the self …

This work presents a review and discussion of the challenges that must be solved in order to
successfully develop swarms of Micro Air Vehicles (MAVs) for real world operations. From …

Interactive robots have the potential to revolutionise the study of social behaviour because
they provide several methodological advances. In interactions with live animals, the …

The study of biomimetic robots and that of animal behaviors are mutually-reinforcing and
inseparable. Animals, through long-term evolutionary processes, have developed innate …

Swarm Robotics is an emerging field of adapting the phenomenon of natural swarms to
robotics and a study of robots to mimic natural swarms, like ants and birds, to form a …

Collective motions emerging from the interaction of autonomous mobile individuals play a
key role in many phenomena, from the growth of bacterial colonies to the coordination of …

The recent advancement of deep reinforcement learning (DRL) contributed to robotics by
allowing automatic controller design. The automatic controller design is a crucial approach …