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Titlebook: New Horizons in Evolutionary Robotics; Extended Contributio Stéphane Doncieux,Nicolas Bredèche,Jean-Baptiste M Conference proceedings 2011

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书目名称New Horizons in Evolutionary Robotics
副标题Extended Contributio
编辑Stéphane Doncieux,Nicolas Bredèche,Jean-Baptiste M
视频video
概述Recent research on Evolutionary Robotics Edited outcome of the 2009 EvoDeRob workshop held October 11, in St. Louis, Missouri.Written by leading experts in the field.State-of-the-Art book
丛书名称Studies in Computational Intelligence
图书封面Titlebook: New Horizons in Evolutionary Robotics; Extended Contributio Stéphane Doncieux,Nicolas Bredèche,Jean-Baptiste M Conference proceedings 2011
描述Evolutionary Algorithms (EAs) now provide mature optimization tools that have successfully been applied to many problems, from designing antennas to complete robots, and provided many human-competitive results. In robotics, the integration of EAs within the engineer’s toolbox made tremendous progress in the last 20 years and proposes new methods to address challenging problems in various setups: modular robotics,  swarm robotics, robotics with non-conventional mechanics (e.g. high redundancy, dynamic motion, multi-modality), etc..This book takes its roots in the workshop on "New Horizons in Evolutionary Design of Robots" that brought together researchers from Computer Science and Robotics during the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2009) in Saint Louis (USA). This book features extended contributions from the workshop, thus providing various examples of current problems and applications, with a special emphasis on the link between Computer Science and Robotics. It also provides a comprehensive and up-to-date introduction to Evolutionary Robotics after 20 years of maturation as well as thoughts and considerations from several major actors in
出版日期Conference proceedings 2011
关键词Computational Intelligence; Evolutionary Robotics; Robot Design; Robotics
版次1
doihttps://doi.org/10.1007/978-3-642-18272-3
isbn_softcover978-3-642-26721-5
isbn_ebook978-3-642-18272-3Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer Berlin Heidelberg 2011
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Novelty-Based Multiobjectivizationprocess. Several multiobjectivizations based on behavioral novelty and on behavioral diversity are compared on a maze navigation task. Results show that the bi-objective variant “Novelty + Fitness” is better at fine-tuning behaviors than basic novelty search, while keeping a comparable number of iterations to converge.
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Conference proceedings 2011omplete robots, and provided many human-competitive results. In robotics, the integration of EAs within the engineer’s toolbox made tremendous progress in the last 20 years and proposes new methods to address challenging problems in various setups: modular robotics,  swarm robotics, robotics with no
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The ‘What’, ‘How’ and the ‘Why’ of Evolutionary Robotics an autonomous robot must be able to adapt behavior in the face of drastic, unanticipated change to its body; (2) under-explored body plans raise new research questions related to cognition; and (3) optimizing body plans accelerates the automated design of intelligent machines, compared to leaving them fixed.
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