Learning Sampling Distributions for Robot Motion Planning

16 Sep 2017Brian IchterJames HarrisonMarco Pavone

A defining feature of sampling-based motion planning is the reliance on an implicit representation of the state space, which is enabled by a set of probing samples. Traditionally, these samples are drawn either probabilistically or deterministically to uniformly cover the state space... (read more)

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