Efficient Motion Planning Under Obstacle Uncertainty with Local Dependencies

Author:

Axelrod Brian,Shimanuki Luke

Publisher

Springer International Publishing

Reference27 articles.

1. Jasour, B.W.A.: Risk contours map for risk bounded motion planning under perception uncertainties. In: Robotics: Science and Systems (2019)

2. Axelrod, B.: Algorithms for Safe Robot Navigation. Master’s thesis, Massachusetts Institute of Technology (2017)

3. Axelrod, B., Kaelbling, L.P., Lozano-Pérez, T.: Provably safe robot navigation with obstacle uncertainty. Int. J. Robot. Res. 37(13–14), 1760–1774 (2018)

4. Bry, A., Roy, N.: Rapidly-exploring random belief trees for motion planning under uncertainty. In: 2011 IEEE International Conference on Robotics and Automation (ICRA), pp. 723–730. IEEE (2011)

5. Cassandra, A.R., Kaelbling, L.P., Kurien, J.: Acting under uncertainty: Discrete Bayesian models for mobile-robot navigation. In: International Conference on Intelligent Robots and Systems, vol. 12, pp. 963–972 (1996)

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