130 citations · 162 across the 4 of their papers we have counts for
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cs.RO2014★ 130 cited
An Extensible Benchmarking Infrastructure for Motion Planning Algorithms
Mark Moll, Ioan A. Sucan, Lydia E. Kavraki
Sampling-based planning algorithms are the most common probabilistically complete algorithms and are widely used on many robot platforms. Within this class of algorithms, many vari…
cs.RO2014
Experience-Based Planning with Sparse Roadmap Spanners
David Coleman, Ioan A. Sucan, Mark Moll +2
We present an experienced-based planning framework called Thunder that learns to reduce computation time required to solve high-dimensional planning problems in varying environment…