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Labference: A Benchmark for Evaluating the Reasoning-Action Connection in Robotic Laboratories

The authors propose Labference, a benchmark for evaluating how robots adjust subsequent operations based on actual physical execution outcomes, separately measuring operation selection, physical execution, and task completion. Preliminary evaluation shows that the tested VLA policies still made target-selection errors even when object transfer succeeded, while GPT-driven control, though able to select correctly, encountered execution failures and higher computational cost.

Part of the event: Labference: A Robotic Laboratory Reasoning-Action Benchmark Released

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