A comprehensive introduction to new approaches in artificial intelligence and robotics that
are inspired by self-organizing biological processes and structures. New approaches to …

We present a set of experiments in which simulated robots are evolved for the ability to
aggregate and move together toward a light target. By developing and using quantitative …

Robot swarms mimic natural systems in which collective abilities emerge from the interaction
of individuals. So far, the swarm robotics literature has focused on the emergence of …

In cooperative multiagent systems, agents interact to solve tasks. Global dynamics of
multiagent teams result from local agent interactions, and are complex and difficult to predict …

In cooperative multi-agent systems, roles are used as a design concept when creating large
systems, they are known to facilitate specialization of agents, and they can help to reduce …

In this paper, we study coordinated motion in a swarm robotic system, called a swarm-bot. A
swarm-bot is a self-assembling and self-organising artifact, composed of a swarm of s-bots …

In tasks such as pursuit and evasion, multiple agents need to coordinate their behavior to
achieve a common goal. An interesting question is, how can such behavior be best …

In this paper, we discuss the limitations of current evolutionary robotics models and we
propose a new framework that might solve some of these problems and lead to an open …

Cyber-Physical Systems (CPS) find applications in a number of large-scale, safety-critical
domains eg transportation, smart cities, etc. As a matter of fact, the increasing interactions …

Distributed coordination of groups of individuals accomplishing a common task without
leaders, with little communication, and on the basis of self-organizing principles, is an …