How PsiBot Uses 100,000 Hours of Human Data to Power Embodied Intelligence

PsiBot demonstrates that, with a 100,000‑hour human‑operation dataset captured via exoskeleton gloves and ego‑vision, a world‑model (W0) and reinforcement‑learning policy (R2) can bridge the gap to robot control, offering a scalable alternative to costly teleoperation pipelines.

Embodied AIRoboticsdata collection

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How PsiBot Uses 100,000 Hours of Human Data to Power Embodied Intelligence