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G$^2$WAM: World Action Models for Efficient and Geometry Grounded Image-Goal Navigation

Gui, Ke et al.
arXiv (All) · Papers
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robotics
World models capture environment dynamics and support counterfactual reasoning for planning. In image-goal navigation, where the target often lies beyond the current field of view, the agent must not only model environmental dynamics but also maintain a persistent spatial memory of the scene. Existi
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