VA-Bench
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- VA-Bench Finds a Gap Between Spatial Understanding and Robot Execution
The VA-Bench paper evaluates 12 multimodal models in closed-loop robot tasks spanning observation, reasoning, action, and revision. The source reports that leading models achieved near-perfect target localization and action-semantic scores, but complete-task success remained around half, with online correction, fine-grained control, active perception, and bimanual coordination as major weaknesses.
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