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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)Formal methods for semi-autonomous driving., , and . DAC, page 148:1-148:5. ACM, (2015)Safety envelope for security., , , , , , , and . HiCoNS, page 85-94. ACM, (2014)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)Open X-Embodiment: Robotic Learning Datasets and RT-X Models., , , , , , , , , and 44 other author(s). CoRR, (2023)Influencing Leading and Following in Human-Robot Teams., , , and . Robotics: Science and Systems, (2019)Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving., , , , , , and . Robotics: Science and Systems, (2020)