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Northwestern University, T‖𝝃t−𝝃t(0)‖2,\boldsymbol{\xi}^{*}_{1:T}=\arg\min_{\boldsymbol{\xi}_{1:T}}\;\sum_{c\in\mathcal{C}}\sum_{t=1}^{T}\bigl[\max\!\bigl(0,\,c(\mathbf{k}_{t})\bigr)\bigr]^{2}+\lambda\sum_{t=1}^{T}\bigl\|\boldsymbol{\xi}_{t}-\boldsymbol{\xi}^{(0)}_{t}\bigr\|^{2}, (5) where 𝐤t\mathbf{k}_{t} denotes the
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By combining video generation and vision-language models, EmboAlign achieves a 43% boost in real-world robot manipulation success without any task-specific training.
