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A single adversarial texture can compromise the performance of Vision-Language-Action models across multiple tasks, revealing alarming shared vulnerabilities.
Forget relying on immediate observations: Keyframe-Chaining VLA lets robots nail long-horizon tasks by remembering and chaining together only the *important* past states.
