Add model card

This PR adds a model card for the ACG-WAM model, linking it to the paper [ACG-WAM: World-Action Modeling via Action-Conditioned Geometric Latent Prediction](https://huggingface.co/papers/2610.06965), the project page, and the GitHub repository. It also sets the `pipeline_tag` to `robotics` and the license to `apache-2.0`.

README.md

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+license: apache-2.0
+pipeline_tag: robotics
+---
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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)
+- 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.