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Scaling Data for Embodied AI
Robot GPTs require massive trajectories; scale via fleets/sims to years of data.
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Key Concepts
Data Hunger: 10k-100k hours for dexterity.
Fleet Scaling: Parallel robots collecting diverse episodes.
Sim-to-Real: Bridge gaps with domain randomization.
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