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Feedback motion planning under non-Gaussian uncertainty and non-convex state constraints.

, , , and . ICRA, page 4238-4244. IEEE, (2016)

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Unifying consensus and covariance intersection for decentralized state estimation., , and . IROS, page 125-130. IEEE, (2016)Efficient distributed state estimation of hidden Markov Models over unreliable networks., , , and . MRS, page 112-119. IEEE, (2017)Motion Planning for Active Data Association and Localization in Non-Gaussian Belief Spaces., , and . WAFR, volume 13 of Springer Proceedings in Advanced Robotics, page 288-303. Springer, (2016)Feedback motion planning under non-Gaussian uncertainty and non-convex state constraints., , , and . ICRA, page 4238-4244. IEEE, (2016)Unifying Consensus and Covariance Intersection for Efficient Distributed State Estimation Over Unreliable Networks., , , , , and . IEEE Trans. Robotics, 37 (5): 1525-1538 (2021)Efficient recursive distributed state estimation of hidden Markov models over unreliable networks., , , and . Auton. Robots, 44 (3-4): 321-338 (2020)Motion Planning in Non-Gaussian Belief Spaces (M3P): The Case of a Kidnapped Robot., , and . CoRR, (2015)6-DOF Pose Estimation of a Robotic Navigation Aid by Tracking Visual and Geometric Features., , and . IEEE Trans Autom. Sci. Eng., 12 (4): 1169-1180 (2015)Motion Planning in Non-Gaussian Belief Spaces for Mobile Robots., , and . CoRR, (2015)Decentralized State Estimation via a Hybrid of Consensus and Covariance intersection., , and . CoRR, (2016)