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On Parallel RRTs for Multi-robot Systems

Stefano Carpin, Enrico Pagello

Year
2002
Citations
60

Abstract

Rapidly-exploring Random Trees are planning algorithms recently introduced for a broad class of path planning problems. In this paper we provide three different ways to better the performance of such algorithms. Numerical results obtained implementing them over a parallel system outline an optimal speed up.

Keywords

Motion planningComputer scienceClass (philosophy)Path (computing)Mathematical optimizationRobotArtificial intelligenceMathematics

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