Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 574)
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Table of contents (6 chapters)
Keywords
About this book
The primary purpose of this book is to describe a methodology for using computers to automatically design robots to meet the specific needs of an application. Details of many novel aspects of the methodology are presented, including an evolutionary algorithm for synthesizing and optimizing multiple objective functions, an algorithm for dynamic simulation of arbitrary robots, an extensible software architecture, and a new representation for robots that is appropriate for robot design. The methodology as a whole is significant in terms of its impact on robot design practices, and as a case study in building evolutionary design systems. Individual parts of the systems are also relevant to other areas. For example, the evolutionary algorithm can be used for design and optimization problems other than robotics, and the dynamic simulation algorithm can be used for analysis and simulation of existing robots or as a part of a manual design tool. The book also gives an overview of previous work in automated design of robots, and of evolutionary design in other engineering disciplines.
Authors and Affiliations
Bibliographic Information
Book Title: Darwin2K
Book Subtitle: An Evolutionary Approach to Automated Design for Robotics
Authors: Chris Leger
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-4331-2
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2000
Hardcover ISBN: 978-0-7923-7929-4Published: 31 August 2000
Softcover ISBN: 978-1-4613-6945-5Published: 11 October 2012
eBook ISBN: 978-1-4615-4331-2Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XIII, 271
Topics: Mechanical Engineering, Control, Robotics, Mechatronics, Artificial Intelligence, Systems Theory, Control, Engineering Design