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On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills.

, , , and . CoRL, volume 229 of Proceedings of Machine Learning Research, page 106-126. PMLR, (2023)

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Constrained Reinforcement Learning for Dexterous Manipulation., , and . CoRR, (2023)Predicting Individual Human Performance in Human-Robot Teaming., , , , and . RO-MAN, page 45-50. IEEE, (2021)Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities., , , , and . CoRL, volume 229 of Proceedings of Machine Learning Research, page 2772-2790. PMLR, (2023)KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation., , , , , , and . CoRR, (2024)Anticipatory Human-Robot Collaboration via Multi-Objective Trajectory Optimization., , , , , , , , and . IROS, page 11052-11057. IEEE, (2020)Inferring Implicit Trait Preferences for Task Allocation in Heterogeneous Teams., and . CoRR, (2023)Learning Prehensile Dexterity by Imitating and Emulating State-only Observations., , and . CoRR, (2024)STRATA: A Unified Framework for Task Assignments in Large Teams of Heterogeneous Robots., , and . CoRR, (2019)Taking Recoveries to Task: Recovery-Driven Development for Recipe-Based Robot Tasks., , , , , , , , , and 2 other author(s). ISRR, volume 20 of Springer Proceedings in Advanced Robotics, page 593-609. Springer, (2019)Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration., , , , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 1355-1367. PMLR, (2022)