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In this paper we exercise the genetic programming of a artificial neural network (ANN) that integrates sensor vision, path planning and steering control of a mobile robot. The training of the ANN is done by a simulation of the robot, its sensors, and environment. The results of each simulation run are then used to denote the ability for the tested network to operate the robot. After less than hundred...
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