UniWAM
Collection
5 items • Updated • 1
Paper
Hugging Face Papers: 2610.02054
UniWAM is an 8B-parameter model that brings semantic understanding, visual prediction, and action generation into one MoT architecture. Its three experts exchange information through joint multimodal attention. During pretraining, physical-language supervision and complementary signals from robot, human egocentric, and VQA data build embodied knowledge. During post-training, future visual noise augmentation reduces reliance on precise future predictions, while encoded action history initializes action generation through flow matching.
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