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Titlebook: Design and Control of Intelligent Robotic Systems; Dikai Liu,Lingfeng Wang,Kay Chen Tan Book 2009 Springer-Verlag Berlin Heidelberg 2009 A

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书目名称Design and Control of Intelligent Robotic Systems
编辑Dikai Liu,Lingfeng Wang,Kay Chen Tan
视频video
概述Presents current applications of computational intelligence in autonomous robotic systems
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Design and Control of Intelligent Robotic Systems;  Dikai Liu,Lingfeng Wang,Kay Chen Tan Book 2009 Springer-Verlag Berlin Heidelberg 2009 A
描述With the increasing applications of intelligent robotic systems in various ?elds, the - sign and control of these systems have increasingly attracted interest from researchers. This edited book entitled “Design and Control of Intelligent Robotic Systems” in the book series of “Studies in Computational Intelligence” is a collection of some advanced research on design and control of intelligent robots. The works presented range in scope from design methodologies to robot development. Various design approaches and al- rithms, such as evolutionary computation, neural networks, fuzzy logic, learning, etc. are included. We also would like to mention that most studies reported in this book have been implemented in physical systems. An overview on the applications of computational intelligence in bio-inspired robotics is given in Chapter 1 by M. Begum and F. Karray, with highlights of the recent progress in bio-inspired robotics research and a focus on the usage of computational intelligence tools to design human-like cognitive abilities in the robotic systems. In Chapter 2, Lisa L. Grant and Ganesh K. Venayagamoorthy present greedy search, particle swarm optimization and fuzzy logic based
出版日期Book 2009
关键词Autonomous Robotics; Autonomous Robotics Systems; Computational Intelligence; Motion Planning; Navigatio
版次1
doihttps://doi.org/10.1007/978-3-540-89933-4
isbn_softcover978-3-642-10066-6
isbn_ebook978-3-540-89933-4Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2009
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Entscheidungsverfahren und Normalformenlation to real-robot-implementation needs modifications to certain algorithmic aspects mainly because of the point-agent model of the basic GSO algorithm and the physical dimensions and dynamics of a real robot. We briefly describe the basic GSO algorithm and the modifications incorporated into the
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Božo Bekavac,Kristina Kocijan,Krešimir Šojatlation is not completely accurate and adapt the control program for changes in the robot’s capabilities. The method’s viability is demonstrated by its application to learning the control program for an actual hexapod robot’s performing area coverage.
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