Create README.md

README.md

@@ -0,0 +1,42 @@
+<div align="center">
+<h2><center>👉 Ctrl-World: A Controllable Generative World Model for Robot Manipulation </h2>
+
+[Yanjiang Guo*](https://robert-gyj.github.io), [Lucy Xiaoyang Shi*](https://lucys0.github.io),  [Jianyu Chen](http://people.iiis.tsinghua.edu.cn/~jychen/), [Chelsea Finn](https://ai.stanford.edu/~cbfinn/)
+
+ \*Equal contribution; Stanford University, Tsinghua University
+
+
+<a href='https://arxiv.org/abs/2510.10125'><img src='https://img.shields.io/badge/ArXiv-2510.10125-red'></a> 
+<a href='https://ctrl-world.github.io/'><img src='https://img.shields.io/badge/Project-Page-Blue'></a> 
+
+</div>
+
+## TL; DR: 
+[**Ctrl-World**](https://sites.google.com/view/ctrl-world) is an action-conditioned world model compatible with modern VLA policies and enables policy-in-the-loop rollouts entirely in imagination, which can be used to evaluate and improve the **instruction following** ability of VLA. 
+
+<p>
+    <img src="assets/ctrl_world.jpg" alt="wild-data" width="100%" />
+</p>
+
+## Model Details:
+This repo include the Ctrl-World model checkpoint trained on opensourced [**DROID dataset**](https://droid-dataset.github.io/) (~95k trajectories, 564 scenes). 
+The DROID platform consists of a Franka Panda robotic arm equipped with a Robotiq gripper and three cameras: two randomly placed third-person cameras and one wrist-mounted camera.
+
+## Usage
+See the official [**Ctrl-World github repo**](https://github.com/Robert-gyj/Ctrl-World/tree/main) for detailed usage.
+
+## Acknowledgement
+
+Ctrl-World is developed from the opensourced video foundation model [Stable-Video-Diffusion](https://github.com/Stability-AI/generative-models). The VLA model used in this repo is from [openpi](https://github.com/Physical-Intelligence/openpi). We thank the authors for their efforts!
+
+
+## Bibtex 
+If you find our work helpful, please leave us a star and cite our paper. Thank you!
+```
+@article{guo2025ctrl,
+  title={Ctrl-World: A Controllable Generative World Model for Robot Manipulation},
+  author={Guo, Yanjiang and Shi, Lucy Xiaoyang and Chen, Jianyu and Finn, Chelsea},
+  journal={arXiv preprint arXiv:2510.10125},
+  year={2025}
+}
+```