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On the probabilistic completeness of the sampling-based feedback motion planners in belief space., , and . ICRA, page 3983-3990. IEEE, (2012)T-PFC: A Trajectory-Optimized Perturbation Feedback Control Approach., and . IEEE Robotics Autom. Lett., 4 (4): 3457-3464 (2019)On the Search for Feedback in Reinforcement Learning., , , , and . CoRR, (2020)On the Convergence of Reinforcement Learning., , and . CoRR, (2020)Structure Aided Odometry (SAO) : A Novel Analytical Odometry Technique Based on Semi-Absolute Localization for Precision-Warehouse Robotic Assistance in Environments with Low Feature Variation., , , and . J. Intell. Robotic Syst., 102 (4): 72 (2021)A Hybrid Bayesian-Frequentist Approach to SLAM., and . J. Intell. Robotic Syst., 83 (3-4): 561-583 (2016)Feedback motion planning under non-Gaussian uncertainty and non-convex state constraints., , , and . ICRA, page 4238-4244. IEEE, (2016)A computationally optimal randomized proper orthogonal decomposition technique., and . ACC, page 3310-3315. IEEE, (2016)Particle Gaussian mixture filters-I., and . Autom., (2018)Experiments with Tractable Feedback in Robotic Planning under Uncertainty: Insights over a wide range of noise regimes., , and . CoRR, (2020)