Evolutionary Robotics : From Algorithms to Implementations

by
Format: Hardcover
Pub. Date: 2006-12-30
Publisher(s): World Scientific Pub Co Inc
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Summary

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.

Table of Contents

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

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