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Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice.

, , and . AAAI, page 20176-20184. AAAI Press, (2024)

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Planning in the continuous domain: A generalized belief space approach for autonomous navigation in unknown environments., , and . Int. J. Robotics Res., 34 (7): 849-882 (2015)Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains., and . Artif. Intell., (2022)Online POMDP Planning with Anytime Deterministic Guarantees., and . CoRR, (2023)Simplified Continuous High Dimensional Belief Space Planning with Adaptive Probabilistic Belief-dependent Constraints., and . CoRR, (2023)Probabilistic Loss and its Online Characterization for Simplified Decision Making Under Uncertainty., and . CoRR, (2021)Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping., , and . CoRR, (2015)Bayesian Information Recovery from CNN for Probabilistic Inference., and . IROS, page 7795-7802. IEEE, (2018)Multi-robot pose graph localization and data association from unknown initial relative poses via expectation maximization., , , and . ICRA, page 593-600. IEEE, (2014)Graph-based distributed cooperative navigation., , , and . ICRA, page 4786-4791. IEEE, (2011)Incremental light bundle adjustment for robotics navigation., , and . IROS, page 1952-1959. IEEE, (2013)