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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.
Current robot manipulation benchmarks fail to capture the messy reality of real-world deployment, so this work introduces a new benchmark, ManipArena, to close the sim2real gap.
