This paper presents a new robotic concept, called SWARM-BOT, based on a swarm of
autonomous mobile robots with self-assembling capabilities. SWARM-BOT takes advantage …

This short paper explains how the Khepera robot was developed, from the initial idea to the
its commercialisation by K-Team. The goal of this paper is not a scientific analysis but an …

In this paper we present three scalable, fully distributed, threshold-based algorithms for
allocating autonomous embodied workers to a given task whose demand evolves …

This paper presents an investigation of odor localization by groups of autonomous mobile
robots using principles of swarm intelligence. We describe a distributed algorithm by which …

True evolvable hardware should evolve whole hardware structures. In robotics, it is not
enough only to evolve the control circuit; the performance of the control circuit is dependent …

Recently, a new approach involving a form of simulated evolution has been proposed to
build autonomous robots. However, it is still not clear if this approach is adequate for real life …

We present a model based on genetic algorithm and neural networks. The neural networks
develop on the basis of an inherited genotype but they show phenotypic plasticity, ie they …

We apply an adapted version of Particle Swarm Optimization to distributed unsupervised
robotic learning in groups of robots with only local information. The performance of the …

This work describes a control architecture based on a hierarchical classifier system. This
system, which learns both reactive and planning rules, implements a motivationally …

Swarm intelligence, and swarm robotics in particular, are reaching a point where leveraging
the potential of communication within an artificial system promises to uncover new and …