Liu, C. Karen

Preparing for the Unknown: Learning a Universal Policy with Online System Identification

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Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

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DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation

Wang, C., Shi, H., Wang, W., Zhang, R., Fei-Fei, L., & Liu, C. K. (2024) · arXiv

Human Motion and AnimationRobot Manipulation and Learning

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Learning to dress: Synthesizing human dressing motion via deep reinforcement learning

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AddBiomechanics: Automating model scaling, inverse kinematics, and inverse dynamics from human motion data through sequential optimization

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Human Motion and AnimationMuscle activation and electromyography studies

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Learning to collaborate from simulation for robot-assisted dressing

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iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

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BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments

Srivastava, S., Li, C., Lingelbach, M., Martín-Martín, R., Xia, F., Vainio, K., Lian, Z., Gokmen, C., Buch, S., Liu, C. K., et al. (2021) · arXiv

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What does the person feel? Learning to infer applied forces during robot-assisted dressing

Erickson, Z., Clegg, A., Yu, W., Turk, G., Liu, C. K., & Kemp, C. C. (2017) · 2017 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningProsthetics and Rehabilitation Robotics

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Haptic simulation for robot-assisted dressing

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Learning to navigate cloth using haptics

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BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation

Li, C., Zhang, R., Wong, J., Gokmen, C., Srivastava, S., Martín-Martín, R., Wang, C., Levine, G., Ai, W., Martinez, B., et al. (2024) · arXiv

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