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 …

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 …

Intelligent transport systems, efficient electric grids, and sensor networks for data collection
and analysis are some examples of the multiagent systems (MAS) that cooperate to achieve …

Consensus achievement is a crucial capability for robot swarms, for example, for path
selection, spatial aggregation, or collective sensing. However, the presence of …

Mobile robots are playing a significant role in Higher Education science and engineering
teaching, as they offer a flexible platform to explore and teach a wide-range of topics such as …

Whereas naturally occurring swarms thrive when crowded, physical interactions in robotic
swarms are either avoided or carefully controlled, thus limiting their operational density …

Multi-agent systems and multi-robot systems have been recognized as unique solutions to
complex dynamic tasks distributed in space. Their effectiveness in accomplishing these …

Robotic swarms that take inspiration from nature are becoming a fascinating topic for multi-
robot researchers. The aim is to control a large number of simple robots in order to solve …