🚀NEW LABGetting Started with Claude AgentsStart lab
Multimodal · Efficiency

Physics-based Motion Retargeting in Real-Time

First page
Physics-based Motion Retargeting in Real-Time
Paper summary

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

Ask this paper

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.

Every Monday
Get next week’s papers.
Subscribe on Substack