Evolutionary Robotics

From Algorithms To Implementations

By: Chee-meng Chew, Ling-feng Wang, Kay Chen Tan

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Hardcover | 17 July 2006

At a Glance

Hardcover
268 Pages

Dimensions(cm)
22.86 x 15.88 x 1.91

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This invaluable book comprehensively describes evolutionary robotics and computational intelligence, and how different computational intelligence techniques are applied to robotic system design. It embraces the most widely used evolutionary approaches with their merits and drawbacks, presents some related experiments for robotic behavior evolution and the results achieved, and shows promising future research directions. Clarity of explanation is emphasized such that a modest knowledge of basic evolutionary computation, digital circuits and engineering design will suffice for a thorough understanding of the material.The book is ideally suited to computer scientists, practitioners and researchers keen on computational intelligence techniques, especially the evolutionary algorithms in autonomous robotics at both the hardware and software levels.

Industry Reviews

"This book is a refreshing and much needed addition to the field of Robotics, and concentrates on the application of soft computing for intelligent sensing, learning, and robot navigation ... the book is particularly valuable for researchers and practitioners of intelligent robot navigation, as a convenient and advanced reference. The authors have been able to expand the horizons of the field and to introduce novel ways of looking at the traditional problem of robot navigation. Some research topics are indicated as well, making the book suitable for researchers in the use of soft computing in robotic navigation. The book is quite readable, and it challenges the readers to explore further ideas and issues in the field."IEEE Computational Intelligence Magazine

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Artificial evolution based autonomous robot navigation	p. 1
Evolvable hardware in evolutionary robotics	p. 33
FPGA-based autonomous robot navigation via intrinsic evolution	p. 63
Intelligent sensor fusion and learning for autonomous robot navigation	p. 117
Task-oriented developmental learning for humanoid robots	p. 145
Bipedal walking through reinforcement learning	p. 167
Swing time generation for bipedal walking control using GA tuned fuzzy logic controller	p. 195
Bipedal walking : stance ankle behavior optimization using genetic algorithm	p. 219
Concluding statements	p. 237
Table of Contents provided by Blackwell. All Rights Reserved.

Evolutionary Robotics

From Algorithms To Implementations

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

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Paperback

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