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 …

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 …

We introduce AutoMoDe: a novel approach to the automatic design of control software for
robot swarms. The core idea in AutoMoDe recalls the approach commonly adopted in …

Neuro-evolution is an appealing approach to generating collective behaviors for robot
swarms. In its typical application, known as off-line automatic design, the neural networks …

We present two empirical studies on the design of control software for robot swarms. In
Study A, Vanilla and EvoStick, two previously published automatic design methods, are …

Previous research has shown that automatically combining low-level behaviors into a
probabilistic finite state machine produces control software that crosses the reality gap …

Several methods have already been proposed to automatically design control software for
robot swarms by assembling predefined modules. Yet, so far, the modules on which these …

Aggregation is one of the most fundamental behaviors and has been studied in swarm
robotic researches for more than two decades. Studies in biology have revealed that the …

In this paper we propose GESwarm, a novel tool that can automatically synthesize collective
behaviors for swarms of autonomous robots through evolutionary robotics. Evolutionary …