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Formal methods for semi-autonomous driving., , and . DAC, page 148:1-148:5. ACM, (2015)Robots That Can See: Leveraging Human Pose for Trajectory Prediction., , , , , and . IEEE Robotics Autom. Lett., 8 (11): 7090-7097 (November 2023)ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes., , , , , , , , and . CoRR, (2020)Learning Human Objectives from Sequences of Physical Corrections., , , and . ICRA, page 2877-2883. IEEE, (2021)Learning Feasibility to Imitate Demonstrators with Different Dynamics., , , and . CoRL, volume 164 of Proceedings of Machine Learning Research, page 363-372. PMLR, (2021)Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding., , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 332-341. PMLR, (2022)Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners., , , , , , , , , and 4 other author(s). CoRL, volume 229 of Proceedings of Machine Learning Research, page 661-682. PMLR, (2023)KITE: Keypoint-Conditioned Policies for Semantic Manipulation., , , and . CoRL, volume 229 of Proceedings of Machine Learning Research, page 1006-1021. PMLR, (2023)Open X-Embodiment: Robotic Learning Datasets and RT-X Models., , , , , , , , , and 44 other author(s). CoRR, (2023)Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback., , , , , , , , , and 22 other author(s). CoRR, (2023)