A Minimalist Flocking Algorithm for Swarm Robots View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Christoph Moeslinger , Thomas Schmickl , Karl Crailsheim

ABSTRACT

In this paper we describe a low-end and easy to implement flocking algorithm which was developed for very simple swarm robots and which works without communication, memory or global information. By adapting traditional flocking algorithms and eliminating the need for communication, we created an algorithm with emergent flocking properties. We analyse its potential of aggregating an initially scattered robot swarm, which is not a trivial task for robots that only have local information. More... »

PAGES

375-382

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-21314-4_47

DOI

http://dx.doi.org/10.1007/978-3-642-21314-4_47

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029947839


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