Emergent flocking with low-end swarm robots

Authors:
Christoph Moeslinger;Thomas Schmickl;Karl Crailsheim
Affiliations:
University of Graz, Artificial Life Lab of the Department of Zoology, Graz, Austria;University of Graz, Artificial Life Lab of the Department of Zoology, Graz, Austria;University of Graz, Artificial Life Lab of the Department of Zoology, Graz, Austria
Venue:
ANTS'10 Proceedings of the 7th international conference on Swarm intelligence
Year:
2010

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Abstract

This article analyses a flocking algorithm that was developed specifically for small and simple swarm robots. It is similar to traditional flocking algorithms for swarm robots, however it does not need communication nor global information. Its only requirements are at least 4 circumferential distance sensors which can have very limited range. This is possible because our algorithm generates emergent alignment of flock members. We show an analysis of our simulations and a short overview of a real robot experiment.