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The Chinese University of Hong Kong
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Counterfactual outcomes reveal that existing embodied agents miss 20% of potential success by not exploring alternative skill branches.
Frontier VLMs excel at precise scene estimation but falter in executing coordinated, goal-directed actions, highlighting a critical bottleneck for robot generalism.
