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University of Virginia 鈭桬qual contribution.
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Action-conditioned world model embeddings can revolutionize failure detection in long-horizon robotic tasks, achieving reliable monitoring without dense annotations.
VLGA sets a new benchmark in autonomous driving by integrating dense 3D geometry, achieving unprecedented accuracy and safety in complex environments.
