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Rethinking Learned Occupancy in Autonomous Active Mapping with Observation-Gated Filtering
Autonomous 3D active mapping requires a space robot to choose where to sense while building the geometry needed for navigation. Learned occupancy completion extends spatial context beyond the current field of view, but one predicted map often serves two planning roles: it scores expected surface gai
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