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Artificially evolved robots that efficiently self-organize tasks

Darwinian selection can be used to evolve robot controllers able to efficiently self-organize their tasks. Taking inspiration from the way in which ants organize their work and divide up tasks, researchers evolved complex robot behaviors using artificial evolution and detailed robotics simulations.
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