We show the emergence of Swarm Intelligence in physical robots. We transfer an optimization algorithm which is based on bee-foraging behavior to a robotic swarm. In simulation this algorithm has already been shown to be more effective, scalable and adaptive than algorithms inspired by ant foraging. In addition to this advantage, bee-inspired foraging does not require (de-)centralized simulation of environmental parameters (e.g. pheromones).
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