Yangkai Wei

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.

VLMs exhibit distinct failure modes under physical visual stress, revealing that traditional accuracy metrics can mask critical vulnerabilities in embodied AI systems.