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 strategies for navigating a swarm of robots for target search in a hazardous environment, with potential applications in high-risk tasks such as disaster recovery and hazardous material detection.
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With the increasing applications of intelligent robotic systems in various fields, the design 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 algorithms, such as evolutionary computation, neural networks, fuzzy logic, learning, etc. are included and most studies reported in this book have been implemented in physical systems. The intended readers of this edited book are engineers, researchers, senior undergraduates, and graduate students who are interested in the field of design and control of intelligent robotic systems.
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Condition: New. Bringing together advanced research on design and control of intelligent robots, this book ranges in scope from design methodologies to robot development. Various design approaches and algorithms, such as evolutionary computation and fuzzy logic are included. Editor(s): Liu, Dikai; Wang, Lingfeng; Tan, Kay Chen. Series: Studies in Computational Intelligence. Num Pages: 478 pages, 41 black & white tables, biography. BIC Classification: TJFM1. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 26. Weight in Grams: 1940. . 2009. Hardback. . . . . Books ship from the US and Ireland. Seller Inventory # V9783540899327
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Condition: New. Bringing together advanced research on design and control of intelligent robots, this book ranges in scope from design methodologies to robot development. Various design approaches and algorithms, such as evolutionary computation and fuzzy logic are included. Editor(s): Liu, Dikai; Wang, Lingfeng; Tan, Kay Chen. Series: Studies in Computational Intelligence. Num Pages: 478 pages, 41 black & white tables, biography. BIC Classification: TJFM1. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 26. Weight in Grams: 1940. . 2009. Hardback. . . . . Seller Inventory # V9783540899327
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Hardcover. Condition: new. Hardcover. 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 strategies for navigating a swarm of robots for target search in a hazardous environment, with potential applications in high-risk tasks such as disaster recovery and hazardous material detection. With the increasing applications of intelligent robotic systems in various ?elds, the - sign and control of these systems have increasingly attracted interest from researchers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783540899327
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