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About this paper
Guoqiang Liang, Yiqi Lin, Yanzhe Chen, Kevin Yuchen Ma, Mike Zheng Shou
MetaWAM packs robot signals into frequency bands in a shared latent frame and transforms them into a spatial video representation. It predicts actions, states, and values. On RoboCasa, it achieves 68.9% average success versus 67.1% for Cosmos Policy. Compact layouts reduce latency per query from 0.479 to 0.291 seconds; denoiser error is diagnostic, not proof of better control.
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