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20192026
most citedA Survey on the Integration of Machine Learning with Sampling-based Motion Planning

16 citations · 20 across the 11 of their papers we have counts for

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cs.RO2019

Refined Analysis of Asymptotically-Optimal Kinodynamic Planning in the State-Cost Space

Michal Kleinbort, Edgar Granados, Kiril Solovey +3

We present a novel analysis of AO-RRT: a tree-based planner for motion planning with kinodynamic constraints, originally described by Hauser and Zhou (AO-X, 2016). AO-RRT explores…