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The University of Texas at Austin
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Conditional branching in navigation tasks reveals hidden failures in agent decision-making that standard metrics overlook.
A4D redefines robot interaction by enabling planning based on what objects can do, not just how they look, achieving unprecedented accuracy and speed in novel scenarios.
