Ce Hao (郝策)
Assistant Professor · Zhongguancun Academy
I am Ce Hao, and I joined Zhongguancun Academy as an Assistant Professor in 2026. My research focuses on bimanual mobile robot manipulation and the dynamics and locomotion of quadrupedal and humanoid robots.
I graduated with a PhD from the National University of Singapore, supervised by Prof. Harold Soh . Before NUS, I studied at the University of California, Berkeley as a PhD student in Prof. Masayoshi Tomizuka's lab. I obtained MS and BS degrees from Beihang University, supervised by Prof. Jia Song.
News
- 2026-03 ForceVLA2 was accepted to CVPR 2026.
- 2026-01 SkillMoEPolicy (SMP) was accepted to ICLR 2026.
- 2026-01 VFP and APREBot were accepted to ICRA 2026.
- 2025-12 REBot was accepted to RA-L 2025.
- 2025-10 Force-VLA was accepted to NeurIPS 2025.
- 2025-07 CHD was accepted to CoRL 2025.
- 2025-06 DISCO was accepted to RA-L 2025.
Join My Group
We are looking for motivated students and collaborators. Our group works on TOPICS (e.g., robotic manipulation, perception, learning).
Open Roles
- PhD students: strong coding (Python/C++), ML background, and research mindset.
- Master/Undergrad RAs: 10–15 hrs/week; solid engineering; open to publications.
- Visitors/Interns: 3–6 months; project-focused collaboration.
How to Apply
Email you@example.com with: 1) CV, 2) transcript, 3) short paragraph on research interests, 4) links to code/papers.
Contact
Email: cehao@u.nus.edu | haoce@bza.edu.cn
Office: Building C9, Zhongguancun Academy, Beijing, China
Research Projects
* Equally contributed, ✝ corresponding author.
SkillVLA: Tackling Combinatorial Diversity in Dual-Arm Manipulation via Skill Reuse
Xuanran Zhai, Zekai Huang, Longyan Wu, Qianyou Zhao, Qiaojun Yu, Jieji Ren, Ce Hao, Harold Soh
Towards Human-Like Manipulation through RL-Augmented Teleoperation and Mixture-of-Dexterous-Experts VLA
Tutian Tang, Xingyu Ji, Wanli Xing, Ce Hao, Wenqiang Xu, Lin Shao, Cewu Lu, Qiaojun Yu, Jiangmiao Pang, Kaifeng Zhang
Deep Reinforcement Learning Based Distributed Active Joint Localization and Target Tracking
Dongming Wang, Shaoshu Su, Wei Ren, Ce Hao
Improving Vehicle Trajectory Prediction with Online Learning
Ce Hao, Yuying Chen, Siyuan Cheng, Hongbo Zhang
Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing
Shaoshu Su, Ce Hao, Catherine Weaver, Chen Tang, Wei Zhan, Masayoshi Tomizuka
Outracing Human Racers with Model-based Planning and Control for Time-Trial Racing
Ce Hao, Chen Tang, Eric Bergkvist, Catherine Weaver, Liting Sun, Wei Zhan, Masayoshi Tomizuka
Path Planning for Unmanned Surface Vehicle Based on Predictive Artificial Potential Field
Ce Hao, Jiangcheng Su, Jia Song
Join My Group
Our group at Zhongguancun Academy works on robot learning, robotic manipulation, and legged/humanoid robot systems. We welcome applications from highly motivated students and collaborators who are interested in these areas.
Prospective Students and Visitors
- Joint PhD training students at Zhongguancun Academy
- Direct PhD-track undergraduate students at Zhongguancun Academy
- Visiting students, including undergraduate, master's, PhD, and industry joint-training students
Students with strong interests in robotics, machine learning, control, and embodied intelligence are especially encouraged to apply.
How to Apply
Please email your CV and a brief personal letter to robotlearning.zgca@outlook.com. In your email, please indicate the position you would like to apply for, and briefly describe your research experience and interests.
