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AI Laboratory
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DURA reveals that visually indistinguishable adversarial patches can exploit VLA models, posing a significant threat to their deployment in real-world robotics.
Sensitive information acquisition by LLM agents is rampant, with most existing privacy measures failing to address this critical vulnerability.
FLAP enables UAVs to navigate complex 3D environments safely and efficiently by integrating active perception into trajectory planning, overcoming traditional sensor limitations.
By blending geometry with classification, this new Finsler metric lets you trace trajectories more accurately through complex systems, like cell development, where you have both spatial data and lineage trees.