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Multi-robot mixing using braids

Authors: Yancy Diaz-Mercado; Magnus Egerstedt;

Multi-robot mixing using braids

Abstract

This paper presents a method for automatically achieving multi-robot mixing in the sense that the robots follow predefined paths in a somewhat loose sense while ensuring that their actual movements are rich enough. In particular, we focus on the mixing problem, where the robots have to interweave their movements, for example to ensure sufficiently rich pairwise interactions or to cover an area along the path. By formally specifying mixing levels through strings over the Braid Group, the resulting hybrid system can execute a geometric interpretation of these strings, where the level of mixing is dictated by the string length. The feasibility of the proposed approach is illustrated on a particular class of multi-robot systems that cooperatively have to achieve the desired mixing levels.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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