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LIBERO-Industry introduces a benchmark built on LIBERO that translates industrial process constraints—such as product variants, conveyor speed, execution windows, and geometric tolerances—into 216 controllable robot learning tasks, evaluating five generalist robot policies under realistic high-mix, low-volume production conditions.
Introduces Flow Reversal Steering (FRS), a method to refine coarse actions from semantic reasoning into precise robot actions by reversing and re-denoising through a flow-matching generalist policy, improving zero-shot control and enabling policy learning.