Shuai Zhou

I am a final-year undergraduate student in Robotics at SCUT, and currently working on robot foundation models at HKUST (Guangzhou) with Wenxuan Song. Previously, I spent eight months at CMU RI working with Prof. Ding Zhao and Prof. Jiaoyang Li. Prior to that, I interned at SJTU, working with Prof. Zhongqiang Ren and Prof. Sven Koenig.

Over the next several years, I am interested in building and deploying next-generation decision-making systems for robotics, potentially pursuing two complementary directions: world action models or VLA frameworks for generalizable embodied reasoning, and the unification of classical control/planning with learned world abstractions for complex long-horizon tasks.

News

[Mar, 2026] Join HKUST(Guangzhou) IPRN Lab to work on robot foundation model.
[Aug, 2025] Join CMU Safe AI Lab to work on robot manipulation.
[Jun, 2025] Start my visiting at CMU
[May, 2025] LSRP* is accepted to SoCS 2025.
[Apr, 2025] Join CMU ARCS Lab to work on learning for planning.
[Dec, 2024] LSRP is accepted to AAAI 2025.
[Apr, 2024] Join SJTU RAP Lab to work on path planning.
[Aug, 2023] Start My exchange at UC Berkeley.

Selected Publications

* denotes equal contribution; only first and co-first authored papers are listed

	LAMP: Long-Horizon Adaptive Manipulation Planning for Multi-Robot Collaboration in Cluttered Space Shuai Zhou, Yorai Shaoul, Jiaoyang Li Under Review website \| video
	Learning Versatile Humanoid Manipulation with Touch Dreaming Yaru Niu* Zhenlong Fang, Shuai Zhou, Binghong Chen, Revanth Krishna Senthilkumaran, Hao Zhang, Bingqing Chen, Chen Qiu, Hongtei (Eric) Tseng, Jonathan Francis, Ding Zhao. Under Review website
	Bridging Planning and Execution: Multi-Agent Path Finding Under Real World Deadlines Jingtian Yan, Shuai Zhou, Stephen Smith, Jiaoyang Li Under Review paper
	LSRP: Scalable and Anytime Planning for Multi-Agent Path Finding with Asynchronous Actions Shuai Zhou*, Shizhe Zhao, Zhongqiang Ren International Symposium on Combinatorial Search (SoCS), 2025 paper \| website
	Loosely Synchronized Rule-Based Planning for Multi-Agent Path Finding with Asynchronous Actions Shuai Zhou, Shizhe Zhao, Zhongqiang Ren AAAI Conference on Artificial Intelligence (AAAI), 2025 paper \| code

Work Experience

HKUST (Guangzhou)

Research Assistant (2026.3 - present)
Guangzhou, China

CMU RI

Visiting Student Intern (2025.6 - 2026.3)
Pittsburgh, PA

Education

University of California, Berkeley

Exchange Student in EECS (2023.8 - 2023.12)
Berkeley, CA

South China University of Technology

BENG in Robotics Engineering (2022.9 - 2026.6)
Guangzhou, China

Services

Conference reviewer: IROS (2025)

Miscellanea

My Chinese name (surname first) is 周帅.
I pursue stillness within, and naturalness without.
I am from Shenzhen, Guangdong Province in China. I've also lived in Guangzhou, Shanghai, Berkeley, Pittsburgh, Philadelphia, Taipei.

Visitor

How far is the light year ?