A model of symmetry breaking in collective decision-making
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
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Many applications of swarm robotics require autonomous navigation in unknown environments. We describe a new collective navigation strategy based on diffusion limited aggregation and bacterial foraging behaviour. Both methods are suitable for typical swarm robots as they require only minimal sensory and control capabilities. We demonstrate the usefulness of the strategy with a swarm that is capable of autonomously finding charging stations and show that the collective search can be significantly more effective than individual-based search.