Robotics

Improve model card: add robotics pipeline tag and project links

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by nielsr HF Staff - opened
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  1. README.md +34 -5
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- license: apache-2.0
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  # PhysBrain-VLA
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  PhysBrain 1.0 β€” Physical Intelligence for Embodied General AI
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- [Open Source Plan](#open-source-plan) β€’ [Overview](#overview) β€’ [Key Technologies](#key-technologies) β€’ [Getting Started](#getting-started)
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  Together, these three technologies form the PhysBrain 1.0 system: **PhysBrain** (base model) Γ— **TwinBrainVLA** (architecture) Γ— **LangForce** (training strategy) β€” achieving SOTA across multiple embodied intelligence benchmarks with exceptional data efficiency.
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  ## Citation
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  If you find PhysBrain useful in your research, please consider citing our work:
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  ## License
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- This project is released under the [Apache 2.0 License](LICENSE).
 
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+ license: apache-2.0
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+ pipeline_tag: robotics
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  # PhysBrain-VLA
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  PhysBrain 1.0 β€” Physical Intelligence for Embodied General AI
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+ [[πŸ“„ Paper](https://huggingface.co/papers/2605.15298)] [[🏠 Project Page](https://phys-brain.github.io/)] [[πŸ’» Code](https://github.com/Phys-Brain/PhysBrain-VLA)]
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  Together, these three technologies form the PhysBrain 1.0 system: **PhysBrain** (base model) Γ— **TwinBrainVLA** (architecture) Γ— **LangForce** (training strategy) β€” achieving SOTA across multiple embodied intelligence benchmarks with exceptional data efficiency.
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+ ## Open Source Plan
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+ All PhysBrain 1.0 VLA model checkpoints are now available. You can find the full collection at [πŸ€— Hugging Face](https://huggingface.co/collections/Phys-Brain/physbrain-10-vla).
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+ The current release status is as follows:
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+ | Component | Status |
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+ | ------------------------------------------------------ | ------------ |
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+ | PhysBrain 1.0 VLA (RoboCasa Fine-Tuned) | βœ… Available |
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+ | PhysBrain 1.0 VLA (LIBERO Fine-Tuned) | βœ… Available |
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+ | PhysBrain 1.0 VLA (SIMPLER WidowX Robot Fine-Tuned) | βœ… Available |
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+ | PhysBrain 1.0 VLA (SIMPLER Google Robot Fine-Tuned) | βœ… Available |
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+ | Inference Code | βœ… Available |
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+ ## Getting Started
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+ PhysBrain-VLA is built on top of the **starVLA** scaffold. To use it, follow these two steps:
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+ 1. **Copy the framework file** into your starVLA codebase:
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+ ```powershell
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+ cp physbrain_vla/PhysBrainVLA.py <path-to-starVLA>/starVLA/model/framework/
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+ ```
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+ 2. **Load and deploy** the model following the standard starVLA checkpoint loading workflow.
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+ For detailed starVLA setup and inference instructions, please refer to the starVLA repository.
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  ## Citation
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  If you find PhysBrain useful in your research, please consider citing our work:
 
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  ## License
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+ This project is released under the [Apache 2.0 License](LICENSE).