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Revert "Merge branch 'main' of https://github.com/DexForce/EmbodiChain into main"
This reverts commit fc4e040, reversing changes made to 292441d.
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.github/workflows/main.yml

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on:
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push:
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branches: [main]
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tags:
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- 'v*' # Match tags starting with v, e.g., v1.0.0
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pull_request:
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branches: [main]
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- uses: actions/checkout@v4
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- name: Run tests
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run: |
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pip install -e .[lerobot] --extra-index-url http://pyp.open3dv.site:2345/simple/ --trusted-host pyp.open3dv.site
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pip install -e . --extra-index-url http://pyp.open3dv.site:2345/simple/ --trusted-host pyp.open3dv.site
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echo "Unit test Start"
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export HF_ENDPOINT=https://hf-mirror.com
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pip uninstall pymeshlab -y
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run: |
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python -m build --wheel
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# - name: (Release) Create GitHub Release (draft)
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# uses: softprops/action-gh-release@v2
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# with:
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# draft: true
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# generate_release_notes: true
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# files: |
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# dist/*
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# env:
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# GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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- name: (Release) Create GitHub Release (draft)
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uses: softprops/action-gh-release@v2
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with:
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draft: true
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generate_release_notes: true
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files: |
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dist/*
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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- name: (Release) Publish to PyPI
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uses: pypa/gh-action-pypi-publish@release/v1

.gitignore

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embodichain/toolkits/outputs/*
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embodichain/toolkits/outputs/*
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embodichain/database/tmp/*
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embodichain/database/train/*
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embodichain/database/*
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3rdparty/
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Log/

CONTRIBUTING.md

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CONTRIBUTORS.md

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README.md

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![teaser](assets/imgs/teaser.jpg)
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[![License](https://img.shields.io/github/license/DexForce/EmbodiChain)](LICENSE)
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[![Website](https://img.shields.io/badge/website-dexforce.com-yellow?logo=google-chrome&logoColor=white)](https://dexforce.com/embodichain/index.html#/)
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[![GitHub Pages](https://img.shields.io/badge/GitHub%20Pages-docs-blue?logo=github&logoColor=white)](https://dexforce.github.io/EmbodiChain/introduction.html)
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[![Python](https://img.shields.io/badge/python-3.10%20|%203.11-blue.svg)](https://docs.python.org/3/whatsnew/3.10.html)
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[![Version](https://img.shields.io/github/v/release/DexForce/EmbodiChain?label=version)](https://github.com/DexForce/EmbodiChain/releases)
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[![Version](https://img.shields.io/badge/version-0.0.1-blue.svg)](https://github.com/DexForce/EmbodiChain/releases)
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---
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EmbodiChain is an end-to-end, GPU-accelerated framework for Embodied AI. It streamlines research and development by unifying high-performance simulation, real-to-sim data pipelines, modular model architectures, and efficient training workflows. This integration enables rapid experimentation, seamless deployment of intelligent agents, and effective Sim2Real transfer for real-world robotic systems.
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> [!NOTE]
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> EmbodiChain is in Alpha and under active development:
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> * More features will be continually added in the coming months. You can find more details in the [roadmap](https://dexforce.github.io/EmbodiChain/resources/roadmap.html).
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> * More features will be continually added in the coming months.
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> * Since this is an early release, we welcome feedback (bug reports, feature requests, etc.) via GitHub Issues.
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-**Efficient Training & Evaluation**: Online data streaming, parallel environment rollouts, and modern training paradigms.
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- 🧩 **Modular & Extensible**: Easily integrate new robots, environments, and learning algorithms.
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The figure below illustrates the overall architecture of EmbodiChain:
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<p align="center">
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<img src="assets/imgs/frameworks.jpg" alt="architecture" width="90%"/>
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</p>
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## Getting Started
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## Citation
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If you find EmbodiChain helpful for your research, please consider citing our work:
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If you use EmbodiChain in your research, please cite:
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```bibtex
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@misc{EmbodiChain,
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year = {2025},
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url = {https://github.com/DexForce/EmbodiChain}
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}
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```
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```bibtex
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@misc{GS-World,
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author = {Guiliang Liu and Yueci Deng and Zhen Liu and Kui Jia},
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title = {GS-World: An Efficient, Engine-driven Learning Paradigm for Pursuing Embodied Intelligence using World
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Models of Generative Simulation},
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month = {October},
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year = {2025},
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journal = {TechRxiv}
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}
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```
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```bibtex
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@inproceedings{Sim2RealVLA,
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title = {Sim2Real {VLA}: Zero-Shot Generalization of Synthesized Skills to Realistic Manipulation},
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author = {Runyi Zhao, Sheng Xu, Ruixing Jin, Yueci Deng, Yunxin Tai, Kui Jia, Guiliang Liu},
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booktitle = {The Fourteenth International Conference on Learning Representations, ICLR},
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year = {2026},
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url = {https://openreview.net/forum?id=H4SyKHjd4c}
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}
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```

VERSION

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0.1.0
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0.0.1

assets/imgs/frameworks.jpg

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assets/imgs/teaser.jpg

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configs/agents/rl/basic/cart_pole/gym_config.json

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configs/agents/rl/basic/cart_pole/train_config.json

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