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The University of Tokyo
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NavWAM turns visual foresight into executable robot actions, outperforming traditional planning methods in real-world navigation scenarios.
Despite advances in VLMs, agents struggle with active perception in 3D environments, revealing a significant gap in performance compared to humans.
