I am a PhD student jointly affiliated with Fudan University and the Shanghai Innovation Institute, working at OpenDriveLab under the supervision of Prof. Hongyang Li.

My research interests center on Humanoid Loco-Manipulation and Human Data Scaling. Always happy to chat and exchange ideas — feel free to drop me an email.

🔥 News

  • 2026.09:  📢 EgoHumanoid-V2 is on arXiv!
  • 2026.05:  🎉 EgoHumanoid is accepted by RSS 2026 and fully open-sourced!
  • 2026.02:  🎉 Joined Tongyi Lab, Alibaba as a Research Intern.
  • 2026.02:  📢 Released EgoHumanoid on arXiv — a human-to-humanoid loco-manipulation transfer framework.
  • 2026.01:  🎉 WholeBodyVLA is accepted by ICLR 2026!

📝 Selected Publications

arXiv 2026
egohumanoid-v2 research overview

EgoHumanoid-V2: Human-to-Humanoid Transfer of Coordinated Whole-Body Skills for Loco-Manipulation

Jin Chen, Yiming Jiang, Chongyang Xu, Modi Shi, Shijia Peng, Li Chen, Tianyu Li, Mu Xu, Yilun Chen, Steven Hoi, Hongyang Li

arXiv preprint, 2026

Project | arXiv

Transfers coordinated whole-body skills from egocentric human demonstrations through coarse-to-fine action alignment and visual alignment, with zero-shot deployment on four real-world tasks.

arXiv 2026
lambda0 research overview

Towards a General Humanoid Loco-Manipulation Model via Egocentric Whole-Body Human Data Pretraining

Chongyang Xu, Zhao Wu, Jin Chen, Yiming Jiang, Jinhui Ye, Yuming Jiang, Shifeng Zhang, Ziliang Feng, Mu Xu, Yilun Chen, Li Lu, Steven C. H. Hoi

arXiv preprint, 2026

Project | GitHub | arXiv

Introduces HumanVerse-500, a 500-hour egocentric whole-body dataset, and lambda-zero, a humanoid VLA policy that transfers human experience through three-stage training.

arXiv 2026
egoalign research overview

EgoAlign: Bridging the Human-Humanoid Gap for Long-Range Loco-Manipulation

Yiming Jiang, Jin Chen, Chongyang Xu, Yilun Chen, Aimin Hao, Yisheng He

arXiv preprint, 2026

Project | GitHub | arXiv

Aligns human demonstrations with humanoid actions and states, enabling zero-shot long-range loco-manipulation without physical-robot task demonstrations.

RSS 2026
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EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration

Modi Shi*, Shijia Peng*, Jin Chen*, Haoran Jiang, Yinghui Li, Di Huang, Ping Luo, Hongyang Li, Li Chen

Robotics: Science and Systems (RSS), 2026

Project | GitHub | arXiv

The first framework that trains on robot-free egocentric human videos and zero-shot deploys on bipedal humanoid robots.

RSS 2026 Workshop
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χ₀: Resource-Aware Robust Manipulation via Taming Distributional Inconsistencies

Checheng Yu, Chonghao Sima, Gangcheng Jiang, Hai Zhang, Haoguang Mai, Hongyang Li, Huijie Wang, Jin Chen, Kaiyang Wu, Li Chen, Lirui Zhao, Modi Shi, Ping Luo, Qingwen Bu, Shijia Peng, Tianyu Li, Yibo Yuan   (authors listed alphabetically)

RSS 2026 Workshop on Beyond Rigidity, 2026

Project | GitHub | arXiv

A systematic study and optimization of dual-arm dexterous deformable-object manipulation; powered the first 24-hour non-stop laundry-folding livestream.

ICLR 2026
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WholeBodyVLA: Towards Unified Latent VLA for Whole-Body Loco-Manipulation Control

Haoran Jiang*, Jin Chen*, Qingwen Bu, Li Chen, Modi Shi, Yanjie Zhang, Delong Li, Chuanzhe Suo, Chuang Wang, Zhihui Peng, Hongyang Li

International Conference on Learning Representations (ICLR), 2026

Project | GitHub | arXiv

The first end-to-end VLA autonomy stack for bipedal humanoids, and the first to sustain over 1 minute of autonomous loco-manipulation on a bipedal humanoid.

T-RO 2026
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Is Diversity All You Need for Scalable Robotic Manipulation?

Modi Shi*, Li Chen*, Jin Chen*, Yuxiang Lu, Chiming Liu, Guanghui Ren, Ping Luo, Di Huang, Maoqing Yao, Hongyang Li

IEEE Transactions on Robotics (T-RO), 2026

Project | GitHub | arXiv

A scaling-law study of how VLA foundation model performance scales with real-robot data diversity.

🎬 Demos

Throwing Trash
Pushing Chair
Picking Plush Toy
Closing Laptop

🎯 Academic Services

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The 1st AgiBot World Challenge

IROS 2025 Competition, Tech Lead

Two tracks — Manipulation and World Model — attracting 300+ teams worldwide. Built on the AgiBot World platform with real-robot evaluation pipelines.

Website

💻 Research Experience

📖 Educations

  • 2025.09 - Present, Ph.D., Fudan University and Shanghai Innovation Institute.
  • 2022.09 - 2025.06, M.S. in Mathematics, Xi’an Jiaotong University.
  • 2018.09 - 2022.06, B.S. in Mathematics and Applied Mathematics, China University of Mining and Technology.