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Learning Constraints From Locally-Optimal Demonstrations Under Cost Function Uncertainty., , и . IEEE Robotics Autom. Lett., 5 (2): 3682-3690 (2020)Planning With Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants., , , и . IEEE Robotics Autom. Lett., 6 (3): 5129-5136 (2021)Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems., , , и . ICRA, стр. 12700-12706. IEEE, (2023)Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization., и . CDC, стр. 624-631. IEEE, (2023)Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds., , и . CoRR, (2024)Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems., , , и . CoRR, (2022)Compositional safety rules for inter-triggering hybrid automata., , и . HSCC, стр. 4:1-4:11. ACM, (2021)Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations., , и . CoRL, том 155 из Proceedings of Machine Learning Research, стр. 1612-1639. PMLR, (2020)Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations., , , и . WAFR, том 17 из Springer Proceedings in Advanced Robotics, стр. 18-36. Springer, (2021)Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations., , и . CoRR, (2021)