HiFi-UMI shows robot policies can deploy from high-fidelity UMI data alone
simple-world-lab · hf · 2026-07-29
HiFi-UMI is a high-fidelity robot-free UMI data system for learning deployable manipulation policies. The paper argues that instead of relying on a small real-robot anchor, improving the fidelity of robot-free data can be enough for direct deployment.
- System design: head-mounted offline stereo-inertial SLAM, native relative pose, microsecond GPIO sync, and two wide-angle cameras per hand.
- Performance: about 3 mm workspace-local end-effector accuracy without external tracking.
- Key result: policies post-trained only on HiFi-UMI data can deploy on real robots and match in-domain teleoperation across three backbones.
- Open source: the authors release HiFi-UMI-2K, 2,000 hours of microsecond-synchronized demonstrations.
Related event: HiFi-UMI Enables Robot Training Without Teleoperation(3 posts)→
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