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+ license: apache-2.0
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+ pipeline_tag: robotics
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+ ---
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+ # ACG-WAM: World-Action Modeling via Action-Conditioned Geometric Latent Prediction
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+ This repository contains the **ACG-WAM-RoboTwin-40K** policy presented in [ACG-WAM: World-Action Modeling via Action-Conditioned Geometric Latent Prediction](https://huggingface.co/papers/2610.06965).
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+ ACG-WAM is a world-action model that learns to predict the geometric consequences of actions through an auxiliary Action-Conditioned Geometric Joint-Embedding Predictive Architecture (ACG-JEPA). The released checkpoint is the Joint ACG-JEPA policy trained on clean and randomized RoboTwin 2.0 demonstrations for 40,000 optimizer updates.
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+ - Project page: [https://RoboOpus.github.io/ACG-WAM](https://RoboOpus.github.io/ACG-WAM)
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+ - Code: [https://github.com/RoboOpus/ACG-WAM](https://github.com/RoboOpus/ACG-WAM)
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+ See the code repository for installation, training, and evaluation instructions.