DynaRobotics Reveals Scaling Laws for Robot Learning with 1M Hours Data
chris_j_paxton · x · 2026-08-29
RoboPapers and DynaRobotics discussed the scaling effects of world-action models. DynaRobotics demonstrated that as pretraining data increased towards 1 million hours, the model achieved predictable, statistically significant gains in accuracy metrics—a rare concrete demonstration of scaling in robot learning. The discussion also touched upon bottlenecks encountered when pushing pretraining beyond this scale.
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