Physics-based Motion Retargeting in Real-Time
Free while signed in. Answers cite the passages they came from.

Uses RL to retarget motions from sparse human sensor data to characters of various morphologies.
Physics simulator policies: Trains RL policies that control characters in a physics simulator, producing physically plausible motion.
Sparse sensor input: Works from sparse human sensor data (e.g., VR headset + controllers) rather than requiring full motion capture.
Cross-morphology: Generalizes across characters of different morphologies without per-character re-training.
VR/AR deployment: Practical for real-time VR/AR avatar control where users have only a few tracking points but want natural character motion.
Get next week’s papers.
The same picks and the same summaries, in your inbox. Free, and 176 issues deep.
Subscribe on Substack