Physics-based Motion Retargeting in Real-Time
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Paper summary
Uses RL to retarget motions from sparse human sensor data to characters of various morphologies.
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01
Physics simulator policies: Trains RL policies that control characters in a physics simulator, producing physically plausible motion.
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Sparse sensor input: Works from sparse human sensor data (e.g., VR headset + controllers) rather than requiring full motion capture.
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Cross-morphology: Generalizes across characters of different morphologies without per-character re-training.
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VR/AR deployment: Practical for real-time VR/AR avatar control where users have only a few tracking points but want natural character motion.