Swarm intelligence principles have been widely studied and applied to a number of different
tasks where a group of autonomous robots is used to solve a problem with a distributed …

The ability to collectively choose the best among a finite set of alternatives is a fundamental
cognitive skill for robot swarms. In this paper, we propose a formal definition of the best-of-n …

My major motivation to think about swarm robotics is the question of how probabilistic local
actions of small robots sum up to rational global patterns shown by the swarm. For the …

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

While swarm robotics systems are often claimed to be highly fault-tolerant, so far research
has limited its attention to safe laboratory settings and has virtually ignored security issues in …

Swarm Robotics (SR) is an extension of the study of Multi-Robot Systems that exploits
concepts of communication, coordination and collaboration among a large number of robots …

Achieving fast and accurate collective decisions with a large number of simple agents
without relying on a central planning unit or on global communication is essential for …

In order to be effective, collective decision-making strategies need to be not only fast and
accurate, but sufficiently general to be ported and reused across different problem domains …

The engineering of large-scale decentralised systems requires sound methodologies to
guarantee the attainment of the desired macroscopic system-level behaviour given the …

The living world is full of cohesive collectives that have evolved to move together with high
efficiency. Schools of fish or flocks of birds maintain their global direction despite significant …