Ling-Feng Wang, Kay Chen Tan, Chee-Meng Chew's Evolutionary Robotics: From Algorithms to Implementations PDF

By Ling-Feng Wang, Kay Chen Tan, Chee-Meng Chew

ISBN-10: 9812568700

ISBN-13: 9789812568700

ISBN-10: 9812773142

ISBN-13: 9789812773142

This useful publication comprehensively describes evolutionary robotics and computational intelligence, and the way varied computational intelligence innovations are utilized to robot process layout. It embraces the main usual evolutionary ways with their advantages and downsides, offers a few similar experiments for robot habit evolution and the consequences accomplished, and indicates promising destiny study instructions. readability of rationalization is emphasised such modest wisdom of simple evolutionary computation, electronic circuits and engineering layout will suffice for an intensive figuring out of the fabric. The e-book is superb to machine scientists, practitioners and researchers a fan of computational intelligence ideas, particularly the evolutionary algorithms in self reliant robotics at either the and software program degrees.

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Morgan Kaufmann. Grefenstette, J. J. (1996). Genetic learning for adaptation in autonomous robots, Robotics and manufacturing: Recent Trends in Research and Applications, vol. 6, ASME Press, New York. Grefenstette, J. , and Schultz, A. (1994). An evolutionary approach to learning in robots. In Proceedings of the Machine Learning Workshop on Robot Learning, 11th International Conference on Machine Learning, Morgan Kaufmann. , and Quatramaran, K. (1997). Cellular encoding for interactive evolu(ionary robotics, Proceedings of the Fourth European Conference on Artificial Life.

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Evolutionary Robotics: From Algorithms to Implementations (World Scientific Series in Robotics and Intelligent Systems) by Ling-Feng Wang, Kay Chen Tan, Chee-Meng Chew


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