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Parallelizing RRT on Large-Scale Distributed-Memory Architectures

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3 Author(s)
Devaurs, D. ; LAAS, Toulouse, France ; Simeon, T. ; Cortes, J.

This paper addresses the problem of parallelizing the Rapidly-exploring Random Tree (RRT) algorithm on large-scale distributed-memory architectures, using the message passing interface. We compare three parallel versions of RRT based on classical parallelization schemes. We evaluate them on different motion-planning problems and analyze the various factors influencing their performance.

Published in:

Robotics, IEEE Transactions on  (Volume:29 ,  Issue: 2 )

Date of Publication:

April 2013

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