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SeeTraceAct: Visibility-Aware Latent Planning from Cross-Embodiment Demonstration Videos
Vision-language-action models (VLAs) are promising general-purpose robot policies, but adapting them to new tasks typically requires costly task-specific teleoperation data. As an alternative, we study one-shot demo-conditioned VLAs, where a robot policy is conditioned on a single demonstration vide
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