Swarm Intelligence (SI) is a popular multi-agent framework that has been originally inspired
by swarm behaviors observed in natural systems, such as ant and bee colonies. In a system …

In this paper, we study the problem of collective and emergent sensing with a flying robot
swarm in which social interactions among individuals lead to following the gradient of a …

This paper presents the research done in the field of robotic cultural evolution in challenging
real world environments. We hereby present these efforts, as part of project subCULTron …

Self-organisation in multi-agent systems (MAS) requires agents to coordinate their actions
according to the specific goal to be pursued by the system as a whole. When agents can …

Designing controllers for robot swarms is challenging, because human developers have
typically no good understanding of the link between the details of a controller that governs …

Numerous nature inspired algorithms have been suggested to enable robotic swarms,
mobile sensor networks and other multi-agent systems to exhibit various self-organized …

Robotic swarms and mobile sensor networks are used for environmental monitoring in
various domains and areas of operation. Especially in otherwise inaccessible environments …

In the last decade, the growing interest in underwater vehicles allowed significant progress
in underwater robotic missions. Despite of this, underwater habitats remain one of the most …

Swarm intelligence has interested researchers in various areas of research for several
decades because of its stability, resilience and simplicity. Several researchers have used …

Nature showcases swarms of animals performing various complex tasks efficiently where
capabilities of individuals alone in the swarm are often quite limited. Swarm intelligence is …