Evolutionary Swarm Robotics : Evolving Self-Organising Behaviours in Groups of Autonomous Robots

In this book the use of ER techniques for the design of self-organising group behaviours, 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 describe...

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Bibliografiske detaljer
Hovedforfatter: Trianni, Vito
Format: Livre numérique
Sprog:Anglais
Udgivet: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Udgivelse:1st ed. 2008.
Serier:Studies in Computational Intelligence 108
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Kommentar: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Evolutionary swarm robotics, evolving self-organising behaviours in groups of autonomous robots, Vito Trianni, Berlin, Springer, 2008, 1 vol. (IX-189 p.), Studies in computational intelligence, 3-540-77611-7
• Evolutionary Swarm Robotics, Texte imprimé, 9783642096358
• Evolutionary Swarm Robotics, Texte imprimé, 9783540848899
• Evolutionary swarm robotics, evolving self-organising behaviours in groups of autonomous robots, Vito Trianni, Berlin, Springer, 2008, 1 vol. (IX-189 p.), Studies in computational intelligence, 3-540-77611-7
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505 1 |a The Evolution of Self-Organization Embodied Cognitive Science Multi-Robot Systems, Swarm Robotics and Self-Organisation Evolutionary Robotics for Self-Organising Behaviours Experiments with Simulated and Real Robots A Self-Organising Artefact: The Swarm-bot Coordinated Motion Hole Avoidance Self-Organising Synchronisation Future Directions Emergent Collective Decisions through Self-Organisation Decision-Making Mechanisms through the Perception of Time From Solitary to Collective Behaviours: Decision Making and Cooperation Conclusions 
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520 |a In this book the use of ER techniques for the design of self-organising group behaviours, 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. The experiments presented and the results obtained contribute to the assessment of ER not only as a design tool, but also as a methodology for modelling and understanding intelligent adaptive behaviours 
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