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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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