Design and Control of Intelligent Robotic Systems

Dikai Liu

ISBN 10: 364210066X / ISBN 13: 9783642100666

Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2010, 2010

Beschreibung

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 504 pp. Englisch.

Bestandsnummer des Verkäufers 9783642100666

Bibliografische Details

• Titel: Design and Control of Intelligent Robotic Systems
• Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2010
• Erscheinungsjahr: 2010
• Sprache: Englisch
• ISBN-10: 364210066X
• ISBN-13: 9783642100666
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.

Von der hinteren Coverseite

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.