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Titlebook: Evolutionary Swarm Robotics; Evolving Self-Organi Vito Trianni Book 2008 Springer-Verlag Berlin Heidelberg 2008 Computational Intelligence.

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書目名稱Evolutionary Swarm Robotics
副標(biāo)題Evolving Self-Organi
編輯Vito Trianni
視頻videohttp://file.papertrans.cn/319/318027/318027.mp4
概述Presents the concept and recent results in evolutionary swarm robotics
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Evolutionary Swarm Robotics; Evolving Self-Organi Vito Trianni Book 2008 Springer-Verlag Berlin Heidelberg 2008 Computational Intelligence.
描述.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..
出版日期Book 2008
關(guān)鍵詞Computational Intelligence; Evolutionary Intelligence; Swarm Robotics; autonom; autonomous robot; cogniti
版次1
doihttps://doi.org/10.1007/978-3-540-77612-3
isbn_softcover978-3-642-09635-8
isbn_ebook978-3-540-77612-3Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2008
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Coordinated Motion..This chapter is organised as follows. In Section 6.1, we review some literature related to the presented work. Section 6.2 presents the experimental setup, while Section 6.3 analyses the functioning of the evolved controller. Section 6.4 describes how the evolved neural controller generalises its
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Self-Organising Synchronisationour are defined by the sensory-motor coordination of the robot (Pfeifer and Scheier, 1997), that is, by the dynamical interactions with the environment that result from the robot embodiment. We show that such dynamical interactions can be exploited for synchronisation, allowing to keep a minimal com
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Extending Web Services Technologiesures of the robotic unit may prevent the accomplishment of the whole task. On the contrary, a multi-robot approach can benefit from the parallelism of operation to be more efficient, from the versatility of its multiple, possibly heterogeneous units and from the inherent redundancy given by the usag
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Bashir Khan,Zafar Iqbal Khattakto pass its genetic material to the subsequent generations. In this way, the species evolves toward better and better individuals. The same idea is exploited in the artificial counterpart, in which a population of individuals is evolved for many generations. Each individual, characterised by its .,
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