Evolutionary swarm robotics: evolving self-organising behaviours in groups of autonomous robots
Trianni, V.
In this book the use of ER techniques for the design of self-organising groupbehaviours, for both simulated and real robots is introduced. This research has a twofold value. From an engineering perspective, an automatic methodology for synthesising complex behaviours in a robotic system is described. ER techniques should be used in order to obtain robust and efficient group behaviours based on self-organisation. From a more theoretical point of view, the second important contribution brought forth by the author's experiments concerns the understanding of the basic principles underlying self-organising behaviours and collective intelligence. In this experimental work, the evolved behaviours are analysed in order to uncover the mechanisms that have led to a certain organisation. In summary, this book tries to mediate between two apparently opposed perspectives: engineering and cognitive science. Presents the concept and recent results in evolutionary swarm robotics INDICE: Part I The Evolution of Self-Organization.- 1 Introduction.- 2 Embodied Cognitive Science.- 3 Multi-Robot Systems, Swarm Robotics and Self-Organisation.- 4 Evolutionary Robotics for Self-Organising Behaviours.- Part II Experiments with Simulated and Real Robots.- 5 A Self-Organising Artefact: The Swarm-bot.- 6 Coordinated Motion.- 7 Hole Avoidance.- Contents IX.- 8 Self-Organising Synchronisation.- Part III Future Directions.- 9 Emergent Collective Decisions through Self-Organisation.- 10 Decision-Making Mechanisms through the Perception of Time.- 11 Decision Making and Cooperation.- 12 Conclusions.- References.
- ISBN: 978-3-540-77611-6
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 200
- Fecha Publicación: 01/02/2008
- Nº Volúmenes: 1
- Idioma: Inglés