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We describe a sequence of experiments in which a robot “brain” was evolved to mimic the behaviours captured under control of a heuristic rule program (imitation learning). The task was light-seeking while avoiding obstacles using binocular light sensors and a trio of IR proximity sensors. The “brain” was a spiking neural network simulator whose parameters were tuned by a genetic algorithm, where fitness...
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