Artificially evolved robots that efficiently self-organize tasks
Friday, August 7, 2015 - 08:30
in Biology & Nature
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.