Hello

I’m Xiawei (William) Liu, a USC senior building reliable robotic systems and trustworthy ML.

I study Computer Engineering & Computer Science at the University of Southern California, supervised by Prof. Yue Wang in the Physical SuperIntelligence Lab.

My research centers on robot learning—developing generalizable, safe autonomy with data-efficient methods for dexterous, whole-body humanoid control. I focus on making humanoid robots perform coordinated, dynamic, and physically interactive tasks in the real world.

Los Angeles, CA Graduating 2026 Open to internships & research roles
Portrait of Xiawei (William) Liu
Xiawei (William) Liu

News

  • May 29, 2026 Ψ₀ received the CVPR 2026 @ 3D-LLM/VLA Best Paper Award.
  • May 28, 2026 Humanoid Everyday received the CVPR 2026 @ EAI Best Paper Award.
  • May 12, 2026 Humanoid Everyday was selected for an oral presentation at ICRA 2026 @ From Data to Decisions.
  • May 01, 2026 Ψ₀ accepted to RSS 2026.
  • Jan 31, 2026 Humanoid Everyday accepted to ICRA 2026.

Publications

* denotes equal contribution · † denotes corresponding author(s)

SIMPLE simulation benchmark for humanoid loco-manipulation

SIMPLE: Simulation-Based Policy Learning and Evaluation for Humanoid Loco-manipulation

arXiv 2026

Songlin Wei*, Zhenhao Ni*, Jie Liu*, Zhenyu Zhao*, Junjie Ye, Hongyi Jing, Junkai Xia, Xiawei Liu, Michael Leong, Liang Heng, Di Huang, Yue Wang

arXiv preprint arXiv:2606.08278

Citation (BibTeX)
@article{wei2026simple,
  title={SIMPLE: Simulation-Based Policy Learning and Evaluation for Humanoid Loco-manipulation},
  author={Wei, Songlin and Ni, Zhenhao and Liu, Jie and Zhao, Zhenyu and Ye, Junjie and Jing, Hongyi and Xia, Junkai and Liu, Xiawei and Leong, Michael and Heng, Liang and Huang, Di and Wang, Yue},
  journal={arXiv preprint arXiv:2606.08278},
  year={2026}
}
Ψ₀ humanoid loco-manipulation demo

Ψ₀: An Open Foundation Model Towards Universal Humanoid Loco-Manipulation

RSS 2026

Songlin Wei*, Hongyi Jing*, Boqian Li*, Zhenyu Zhao*, Jiageng Mao, Zhenhao Ni, Sicheng He, Jie Liu, Xiawei Liu, Kaidi Kang, Sheng Zang, Marco Pavone, Di Huang, Yue Wang†

Robotics: Science and Systems (RSS), 2026

CVPR 2026 @ 3D-LLM/VLA Best Paper Award

Citation (BibTeX)
@misc{wei2026psi0openfoundationmodel,
  title={$\Psi_0$: An Open Foundation Model Towards Universal Humanoid Loco-Manipulation},
  author={Songlin Wei and Hongyi Jing and Boqian Li and Zhenyu Zhao and Jiageng Mao and Zhenhao Ni and Sicheng He and Jie Liu and Xiawei Liu and Kaidi Kang and Sheng Zang and Weiduo Yuan and Marco Pavone and Di Huang and Yue Wang},
  year={2026},
  eprint={2603.12263},
  archivePrefix={arXiv},
  primaryClass={cs.RO},
  url={https://arxiv.org/abs/2603.12263},
}

Humanoid Everyday: A Comprehensive Robotic Dataset

ICRA 2026

Zhenyu Zhao*, Hongyi Jing*, Xiawei Liu, Jiageng Mao, Abha Jha, Hanwen Yang, Rong Xue, Sergey Zakharov, Vitor Guizilini, Yue Wang†

International Conference on Robotics and Automation (ICRA), 2026

CVPR 2026 @ EAI Best Paper Award

ICRA 2026 @ From Data to Decisions Oral Presentation

Citation (BibTeX)
@misc{zhao2025humanoideverydaycomprehensiverobotic,
  title={Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation},
  author={Zhenyu Zhao and Hongyi Jing and Xiawei Liu and Jiageng Mao and Abha Jha and Hanwen Yang and Rong Xue and Sergey Zakharor and Vitor Guizilini and Yue Wang},
  year={2025},
  eprint={2510.08807},
  archivePrefix={arXiv},
  primaryClass={cs.RO},
  url={https://arxiv.org/abs/2510.08807},
}

Research experience

Brief affiliations.

Physical SuperIntelligence Lab (PSI Lab), USC

2025 — Present

Research with Prof. Yue Wang on humanoid robotics and learning.

Machine Learning with Prof. Pradeep Ravikumar, CMU

2024

Research collaboration in machine learning.