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Poisson-RRT Chonhyon Park and Jia Pan and Dinesh Manocha http://gamma.cs.unc.edu/PoissonRRT/ Abstract— We present an RRT-based motion planning algorithm that uses the maximal Poisson-disk sampling scheme. Our approach
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Document Date: 2014-02-14 21:55:05


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A. RRT / C. Lattice / Sampling / Lattice / /

Company

GPU / Speed / Academic Press Ltd. / SIAM Journal / NVIDIA / Intel / /

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Facility

Cubicle Cobs / University of North Carolina / Chapel Hill / Wiley Online Library / /

IndustryTerm

motion planning algorithms / approximate algorithms / motion planning algorithm / parallelRRT algorithms / bidirectional search / construction algorithm / adaptive sampling algorithm / variant algorithms / nearest node search / incremental sampling-based algorithms / multi-robot systems / mesh algorithms / serial and parallel algorithms / image processing / serial and parallel planning algorithms / collision-free solution / sequential algorithm / Online Library / parallel algorithm / hybrid systems / overall algorithm / nearest neighbor search / /

NaturalFeature

Chapel Hill / /

Organization

Cambridge university / National Science Foundation / University of North Carolina / Algorithmic Foundation / Department of Computer Science / Italian Association / /

Person

J. Kuffner Jr / Chonhyon Park / Jia Pan / Morgan Kaufmann / S. LaValle / Dinesh Manocha / /

Position

adaptive sampling planner / region-sensitive adaptive motion planner / ” / uniform sampling planner / planner / region-sensitive adaptive motion planner / /

Product

Poisson / /

ProvinceOrState

North Carolina / /

PublishedMedium

The International Journal / SIAM Journal on Computing / /

Technology

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