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Multimodal · Efficiency

Physics-based Motion Retargeting in Real-Time

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First page
Physics-based Motion Retargeting in Real-Time
The curator’s take

Uses RL to retarget motions from sparse human sensor data to characters of various morphologies.

Key points
01

Physics simulator policies: Trains RL policies that control characters in a physics simulator, producing physically plausible motion.

02

Sparse sensor input: Works from sparse human sensor data (e.g., VR headset + controllers) rather than requiring full motion capture.

03

Cross-morphology: Generalizes across characters of different morphologies without per-character re-training.

04

VR/AR deployment: Practical for real-time VR/AR avatar control where users have only a few tracking points but want natural character motion.

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