Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-organizing Machines

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MIT Press, 2000 - Technology & Engineering - 320 pages
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Evolutionary robotics is a new technique for the automatic creation of autonomous robots. Inspired by the Darwinian principle of selective reproduction of the fittest, it views robots as autonomous artificial organisms that develop their own skills in close interaction with the environment and without human intervention. Drawing heavily on biology and ethology, it uses the tools of neural networks, genetic algorithms, dynamic systems, and biomorphic engineering. The resulting robots share with simple biological systems the characteristics of robustness, simplicity, small size, flexibility, and modularity.

In evolutionary robotics, an initial population of artificial chromosomes, each encoding the control system of a robot, is randomly created and put into the environment. Each robot is then free to act (move, look around, manipulate) according to its genetically specified controller while its performance on various tasks is automatically evaluated. The fittest robots then "reproduce" by swapping parts of their genetic material with small random mutations. The process is repeated until the "birth" of a robot that satisfies the performance criteria.

This book describes the basic concepts and methodologies of evolutionary robotics and the results achieved so far. An important feature is the clear presentation of a set of empirical experiments of increasing complexity. Software with a graphic interface, freely available on a Web page, will allow the reader to replicate and vary (in simulation and on real robots) most of the experiments.
  

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The book has a simple language and it's easy to follow the topics. Proper examples and instances provided in the text are quite helpful for the reader.

Review: Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines

User Review  - Simon Hutchinson - Goodreads

An interesting and thorough overview of the subject. Read full review

Contents

Evolutionary and neural techniques
19
How to evolve robots
49
Evolution of simple navigation
69
Power and limits of reactive intelligence
93
Beyond reactive intelligence
121
Learning and evolution
153
Competitive coevolution
189
Encoding mapping and development
223
Walking machines
241
Evolvable hardware
261
Conclusions
277
References
295
Index
317
Copyright

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Page 311 - In P. Husbands, & I. Harvey (eds.), Proceedings of the fourth European Conference on Artificial Life. Cambridge, MA: MIT Press.
Page 303 - AJ Ijspeert, J. Hallam, and D. Willshaw. From lampreys to salamanders: evolving neural controllers for swimming and walking. In R. Pfeifer, B. Blumberg, J.-A. Meyer, and SW Wilson, editors, From Animals to Animats, Proceedings of the Fifth International Conference of The Society for Adaptive Behavior (SAB98), pages 390-399.
Page 313 - Separability is a learner's best friend. In JA Bullinaria, DW Glasspool, and G. Houghton, editors, Proceedings of the Fourth Neural Computation and Psychology Workshop: Connectionist Representations, pages 40-47.
Page 308 - Evolution of neural control structures: some experiments on mobile robots.

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(MIT Press, 2000).

(MIT Press, 2000).

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