Abstract
Probabilistic roadmap planners (PRMs) have become a popular technique for motion
planning that has shown great potential. A critical aspect of a PRM is the probabilistic
strategy used to sample the free configuration space. In this paper we present a new,
simple sampling strategy, which we call the Gaussian sampler, that gives a
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