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Incremental evolution of neural controllers for navigation in a 6 1egged robot |
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AbstractThis paper describes how the SGOCE paradigm has been used within the context of a "minimal simulation " strategy to evolve neural networks controlling locomotion and obstacle-avoidance in a 6-legged robot. Such controllers have been first evolved through simulation and then successfully downloaded on the real robot. 1
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