Gene creation for a mobile robot by virtual training

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This paper shows a method to generate an autonomous motor coordination for mobile robots. The method is to let robots learn their own walking strategy by trials and errors, namely by training in virtual environments. By using a dynamics engine, the robot training is done in various virtual environments under genetic algorithm with a proper natural selection.

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