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 …

Swarm robotics is an approach to collective robotics that takes inspiration from the self-
organized behaviors of social animals. Through simple rules and local interactions, swarm …

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 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 …

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 …

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 …

We demonstrate the ability of a swarm of autonomous micro-robots to perform collective
decision making in a dynamic environment. This decision making is an emergent property of …

Swarm robotics is a promising approach to control large groups of robots. However,
designing the individual behavior of the robots so that a desired collective behavior emerges …

Designing and analyzing self-organizing systems such as robotic swarms is a challenging
task even though we have complete knowledge about the robot's interior. It is difficult to …

The field of multi-agent dynamic systems is an inter-disciplinary research field that has
become very popular in the recent years in parallel with the significant interest in the …