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LIFD: Anchored Diffusion for 3D-Aware Scene Memory in Robotic Manipulation

arXiv · AI, language, vision and robotics · article · Sep 17, 2026 · UTC

Robotic manipulation under partial observability requires spatial information that extends beyond the current view. Geometry-aware RGB features describe visible structure, but previously observed regions may disappear as the robot or scene moves. Maintaining a useful scene representation therefore requires retaining observation history while inferring missing content without losing its connection to visible evidence. We introduce LIFD (Look, Imagine, Focus, and Do), a framework for persistent, 3D-aware scene memory. LIFD learns a scene-token representation from multi-view agreement and complet

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Evidence & attribution

First collected: 2026-09-19T20:28:21.856Z. This is not the publication date.