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The Robot Data Factory is introduced, a mission-driven infrastructure and methodology for continuously generating, validating, benchmarking, and reusing robot experience that reframes robot data generation as a continuous scientific production process and provides a pathway toward reproducible, scalable, and eventually federated infrastructure for Physical AI.
Visuomotor policies can learn to ignore distracting visual variations simply by preprocessing raw RGB images into task-aware, semantic-geometric representations *before* feeding them to the policy.
