Dyna-2: Pre-training on 1M Hours of Egocentric Human Video Boosts Robot Performance to 53%
lukas_m_ziegler · x · 2026-08-11
Dyna Robotics published Dyna-2, a groundbreaking research paper introducing a new scaling law for robot foundation models: pre-training on egocentric human videos predictably and monotonically improves downstream robot performance.
Key Findings
- Pre-training Data: Utilized 1 million hours of egocentric human video, equivalent to 170 years of continuous human experience (cooking, folding, assembling, cleaning).
- Scaling Law Validated: As human data scaled, robot performance improved predictably. Tested across 39 tasks and 2 unseen robot embodiments, normalized task performance jumped from 20% (at 1,000 hours) to 53% (at 1 million hours).
- Potential: Human video exists at an effectively unlimited scale. Anyone wearing a camera can generate training data, unlocking a massive new pathway for scaling robot foundation models.
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