Academic Publications

This page contains bibliographic information for academic papers related to EmbodiChain. Papers are ordered by year (newest first).

Publications

2026

From Reaction to Anticipation: Proactive Failure Recovery through Agentic Task Graph for Robotic Manipulation

Authors: Sheng Xu, Ruixing Jin, Huayi Zhou, Bo Yue, Guanren Qiao, Yueci Deng, Yunxin Tai, Kui Jia, Guiliang Liu

Venue: Robotics: Science and Systems (RSS), 2026

@inproceedings{xu2026agentchord,
  title = {From Reaction to Anticipation: Proactive Failure Recovery through Agentic Task Graph for Robotic Manipulation},
  author = {Xu, Sheng and Jin, Ruixing and Zhou, Huayi and Yue, Bo and Qiao, Guanren and Deng, Yueci and Tai, Yunxin and Jia, Kui and Liu, Guiliang},
  booktitle = {Robotics: Science and Systems (RSS)},
  year = {2026}
}

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Sim2Real VLA: Zero-Shot Generalization of Synthesized Skills to Realistic Manipulation

Authors: Runyi Zhao, Sheng Xu, Ruixing Jin, Yueci Deng, Yunxin Tai, Kui Jia, Guiliang Liu

Venue: The Fourteenth International Conference on Learning Representations (ICLR), 2026

@inproceedings{zhao2026sim2real,
  title={Sim2real vla: Zero-shot generalization of synthesized skills to realistic manipulation},
  author={Zhao, Runyi and Xu, Sheng and Jin, Ruixing and Deng, Yueci and Tai, Yunxin and Jia, Kui and Liu, Guiliang},
  booktitle={The Fourteenth International Conference on Learning Representations},
  year={2026}
}

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2025

DexScale: Automating Data Scaling for Sim2Real Generalizable Robot Control

Authors: Guiliang Liu, Yueci Deng, Runyi Zhao, Huayi Zhou, Jian Chen, Jietao Chen, Ruiyan Xu, Yunxin Tai, Kui Jia

Venue: Forty-Second International Conference on Machine Learning (ICML), 2025

@inproceedings{liu2025dexscale,
  title={DexScale: automating data scaling for sim2real generalizable robot control},
  author={Liu, Guiliang and Deng, Yueci and Zhao, Runyi and Zhou, Huayi and Chen, Jian and Chen, Jietao and Xu, Ruiyan and Tai, Yunxin and Jia, Kui},
  booktitle={Forty-second international conference on machine learning},
  year={2025}
}

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Core Framework Citations

The following citations are kept in the main README.md as they are considered core framework references:

• EmbodiChain - The framework itself
• GS-World - The underlying generative simulation paradigm