Update model card with robotics metadata and project links

Hi! I'm Niels from the Hugging Face community science team.

This PR improves the model card by:
- Adding the `robotics` pipeline tag to the metadata.
- Adding absolute links to the paper, project page, and GitHub repository.
- Including a "Getting Started" section with the setup instructions found in the repository.

These changes help make the model more discoverable and provide context for researchers and developers.

README.md

@@ -1,11 +1,13 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+pipeline_tag: robotics
+---
+
 # PhysBrain-VLA
 
 PhysBrain 1.0 — Physical Intelligence for Embodied General AI
 
-[Open Source Plan](#open-source-plan) • [Overview](#overview) • [Key Technologies](#key-technologies) • [Getting Started](#getting-started)
+[Paper](https://huggingface.co/papers/2605.15298) • [Project Page](https://phys-brain.github.io/) • [GitHub](https://github.com/Phys-Brain/PhysBrain-VLA)
 
 ---
 
@@ -35,6 +37,34 @@ A principled training methodology that breaks the **visual shortcut dilemma** in
 
 Together, these three technologies form the PhysBrain 1.0 system: **PhysBrain** (base model) × **TwinBrainVLA** (architecture) × **LangForce** (training strategy) — achieving SOTA across multiple embodied intelligence benchmarks with exceptional data efficiency.
 
+## Open Source Plan
+
+All PhysBrain 1.0 VLA model checkpoints are now available. You can find the full collection at [🤗 Hugging Face](https://huggingface.co/collections/Phys-Brain/physbrain-10-vla).
+
+The current release status is as follows:
+
+| Component                                              | Status       |
+| ------------------------------------------------------ | ------------ |
+| PhysBrain 1.0 VLA (RoboCasa Fine-Tuned)                | ✅ Available  |
+| PhysBrain 1.0 VLA (LIBERO Fine-Tuned)                  | ✅ Available  |
+| PhysBrain 1.0 VLA (SIMPLER WidowX Robot Fine-Tuned)   | ✅ Available  |
+| PhysBrain 1.0 VLA (SIMPLER Google Robot Fine-Tuned)    | ✅ Available  |
+| Inference Code                                         | ✅ Available  |
+
+## Getting Started
+
+PhysBrain-VLA is built on top of the **starVLA** scaffold. To use it, follow these two steps:
+
+1. **Copy the framework file** into your starVLA codebase:
+   ```powershell
+   cp physbrain_vla/PhysBrainVLA.py <path-to-starVLA>/starVLA/model/framework/
+   ```
+
+
+2. **Load and deploy** the model following the standard starVLA checkpoint loading workflow.
+
+For detailed starVLA setup and inference instructions, please refer to the starVLA repository.
+
 ## Citation
 
 If you find PhysBrain useful in your research, please consider citing our work:
@@ -52,7 +82,7 @@ If you find PhysBrain useful in your research, please consider citing our work:
 
 @misc{physbrain10technicalreport,
       title={PhysBrain 1.0 Technical Report}, 
-      author={Shijie Lian and Bin Yu and Xiaopeng Lin and Changti Wu and Hang Yuan and Xiaolin Hu and Zhaolong Shen and Yuzhuo Miao and Haishan Liu and Yuxuan Tian and Yukun Shi and Cong Huang and Kai Chen},
+      author={Shijie Lian and Bin Yu and Xiaopeng Lin and Changti Wu Author and Hang Yuan and Xiaolin Hu and Zhaolong Shen and Yuzhuo Miao and Haishan Liu and Yuxuan Tian and Yukun Shi and Cong Huang and Kai Chen},
       year={2026},
       eprint={2605.15298},
       archivePrefix={arXiv},
@@ -63,4 +93,4 @@ If you find PhysBrain useful in your research, please consider citing our work:
 
 ## License
 
-This project is released under the [Apache 2.0 License](LICENSE).
+This project is released under the [Apache 2.0 License](LICENSE).