SWARM
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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