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

, , , , , and . ICRA, page 6344-6350. IEEE, (2020)

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Improving Kinodynamic Planners for Vehicular Navigation with Learned Goal-Reaching Controllers., , , , and . IROS, page 9038-9043. IEEE, (2021)Terrain-Aware Learned Controllers for Sampling-Based Kinodynamic Planning over Physically Simulated Terrains., , , , and . IROS, page 2925-2930. IEEE, (2022)Describing Quantum Circuits with Systolic Arrays., , and . ASAP, page 109-113. IEEE Computer Society, (2006)A Survey on the Integration of Machine Learning with Sampling-based Motion Planning., , , and . CoRR, (2022)Data-Efficient Learning of High-Quality Controls for Kinodynamic Planning used in Vehicular Navigation., , , , and . CoRR, (2022)USHER: Unbiased Sampling for Hindsight Experience Replay., , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 2073-2082. PMLR, (2022)Morse Graphs: Topological Tools for Analyzing the Global Dynamics of Robot Controllers., , , , , and . WAFR, volume 25 of Springer Proceedings in Advanced Robotics, page 436-453. Springer, (2022)Data-Efficient Characterization of the Global Dynamics of Robot Controllers with Confidence Guarantees., , , , , , , and . CoRR, (2022)MORALS: Analysis of High-Dimensional Robot Controllers via Topological Tools in a Latent Space., , , , , and . CoRR, (2023)Data-Efficient Characterization of the Global Dynamics of Robot Controllers with Confidence Guarantees., , , , , , , and . ICRA, page 3065-3072. IEEE, (2023)