A Genetic Programming System LearningObstacle Avoiding Behavior and Controlling aMiniature Robot in Real TimePeter

@inproceedings{Nordin1995AGP,
  title={A Genetic Programming System LearningObstacle Avoiding Behavior and Controlling aMiniature Robot in Real TimePeter},
  author={Nordin and Wolfgang and BanzhafFachbereich and InformatikUniversit},
  year={1995}
}
One of the most general forms of representing and specifying behavior is by using a computer language. We have evaluated the use of the evolutionary technique of Genetic Programming (GP) to directly control a miniature robot. The goal of the GP-system was to evolve real-time obstacle avoiding behavior from sensorial. The evolved programs are used in a sense-think-act context. We employed a novel technique to enable real time learning with a real robot using genetic programming. To our knowledge… CONTINUE READING

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