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No, to the Right: Online Language Corrections for Robotic Manipulation via Shared Autonomy.

, , , , , and . HRI, page 93-101. ACM, (2023)

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Formal methods for semi-autonomous driving., , and . DAC, page 148:1-148:5. ACM, (2015)ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes., , , , , , , , and . CoRR, (2020)Robots That Can See: Leveraging Human Pose for Trajectory Prediction., , , , , and . IEEE Robotics Autom. Lett., 8 (11): 7090-7097 (November 2023)Open X-Embodiment: Robotic Learning Datasets and RT-X Models., , , , , , , , , and 44 other author(s). CoRR, (2023)Batch Active Learning of Reward Functions from Human Preferences., , and . CoRR, (2024)SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities., , , , , , , , and . CoRR, (2024)Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback., , , , , , , , , and 22 other author(s). CoRR, (2023)Safety envelope for security., , , , , , , and . HiCoNS, page 85-94. ACM, (2014)APReL: A Library for Active Preference-based Reward Learning Algorithms., , and . HRI, page 613-617. IEEE / ACM, (2022)Language Instructed Reinforcement Learning for Human-AI Coordination., and . ICML, volume 202 of Proceedings of Machine Learning Research, page 13584-13598. PMLR, (2023)