Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-organizing MachinesEvolutionary robotics is a new technqiue 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. |
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ability activation adaptive agent approach arena artificial evolution autonomous back-propagation basic behaviors battery best individuals cells changes chapter chromosome co-evolution co-evolving complex connection weights constraints control system corresponding cycles cylinder cylindrical objects described in section discriminate dynamics effective encoding environment evolutionary algorithm evolutionary process evolutionary robotics evolvable hardware evolved controllers evolved individuals evolved robots example experiments described figure fitness function fitness landscape fitness values Floreano FPGA Francesco Mondada genetic algorithm genotype gripper hexapod robot hidden units incremental infrared sensors initial input units interaction Khepera robot lifetime master tournament move mutation neural network neurons node Nolfi oscillators output units parameters performance phenotype physical robots population position predator and prey problem produce random randomly real robots replications represents rotation selected sensory patterns sensory-motor coordination simple simulated solutions solve space speed strategy synaptic synaptic weights target task tested trajectory visual walls wheel
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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.