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Simultaneously Learning Transferable Symbols and Language Groundings from Perceptual Data for Instruction Following.

, , , and . Robotics: Science and Systems, (2020)

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Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction., , , , , , , and . Robotics: Science and Systems, (2023)Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions., , , , , , and . CoRL, volume 164 of Proceedings of Machine Learning Research, page 1486-1501. PMLR, (2021)Learning to Ground Natural Language Instructions to Plans.. Brown University, USA, (2020)Improved Inference of Human Intent by Combining Plan Recognition and Language Feedback., , , , , , and . IROS, page 7976-7983. (2023)"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer., , , , , , and . CoRL, volume 164 of Proceedings of Machine Learning Research, page 1564-1574. PMLR, (2021)Learning to Follow Language Instructions with Compositional Policies., , , , , and . CoRR, (2021)Flight, Camera, Action! Using Natural Language and Mixed Reality to Control a Drone., , , , and . ICRA, page 6949-6956. IEEE, (2019)Feedback error learning for rhythmic motor primitives., , and . ICRA, page 1317-1322. IEEE, (2013)Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions., , , and . Robotics: Science and Systems, (2022)Robot Object Retrieval with Contextual Natural Language Queries., , , , , and . Robotics: Science and Systems, (2020)