Huayi Wang 「王华艺」

Hi! I'm a first-year Ph.D. student at MMLab@HKU (The University of Hong Kong), advised by Prof. Ping Luo. I received my bachelor's degree in Artificial Intelligence from Shanghai Jiao Tong University, advised by Prof. Weinan Zhang. Currently, I'm working closely with Kinetix AI and Noitom Robotics with Dr. Lei Han. Previously, I spent a wonderful time at Shanghai AI Lab with Dr. Jiangmiao Pang and Dr. Jingbo Wang.

My current research is centered on Humanoid Robot Learning and Control, with a specific focus on Humanoid Loco-Manipulation. I am dedicated to developing effective robot learning-based training methods that prioritize agility, robustness, and safety. If you're interested in my research or would like to chat, feel free to drop me an email or WeChat: why618188.

Email  /  CV  /  Scholar  /  Twitter  /  Github

Publications

(*Equal Contribution, †Corresponding Author)
Towards Professional Tennis Styles for Humanoid Robots with Adaptive Motion Planning and Tracking

Tao Huang*, Ruofei Liu*, Xuchen Tang, Xinyin Zhang, Junli Ren, Huayi Wang, Feiyu Jia, Yukai Qi, Kangning Yin, Weishuai Zeng, Lipeng Chen, Xi Li, Ting Wu, Kailin Li, Ruoli Dai, Jingbo Wang, Lei Han, Jiangmiao Pang

Conference on Robot Learning (CoRL), 2026

[Website] [PDF] [Video] [Code]

ReactiveBFM teaser showing online motion replanning, robustness, and interactive humanoid control ReactiveBFM: Reactive Closed-Loop Motion Planning Towards Universal Humanoid Whole-Body Control

Xiao Chen, Weishuai Zeng, Xiaojie Niu, Zirui Wang, Jianan Li, Huayi Wang, Furui Xu, Jiahe Chen, Weixiang Zhong, Lihe Ding, Kailin Li, Jiangmiao Pang, Tai Wang, Tianfan Xue†, Jingbo Wang†

Conference on Robot Learning (CoRL), 2026

[Website] [PDF] [Code]

OmniContact: Chaining Meta-Skills via Contact Flow for Generalizable Humanoid Loco-Manipulation

Runyi Yu*, Xiaoyi Lin*, Ji Ma, Yinhuai Wang†, Koukou Luo, Jiahao Ji, Huayi Wang, Wenjia Wang, Runhan Zhang, Ping Tan, Ting Wu, Ruoli Dai, Qifeng Chen†, Lei Han†

Conference on Robot Learning (CoRL), 2026

[Website] [PDF] [Video] [Code]

PhysHSI: Towards a Real-World Generalizable and Natural Humanoid-Scene Interaction System

Huayi Wang*, Wentao Zhang*, Runyi Yu*, Tao Huang, Junli Ren, Feiyu Jia, Zirui Wang, Xiaojie Niu, Xiao Chen, Jiahe Chen, Qifeng Chen†, Jingbo Wang†, Jiangmiao Pang†

Under Review, 2025

[Website] [PDF] [Video] [Code]

BeetleOmni teaser showing agile omnidirectional flight and robustness to wind and payloads Learning Agile and Robust Omnidirectional Aerial Motion on Overactuated Tiltable-Quadrotors

Wentao Zhang, Zhaoqi Ma, Jinjie Li, Huayi Wang, Haokun Liu, Junichiro Sugihara, Chen Chen, Yicheng Chen, Moju Zhao†

Under Review, 2026

[Website] [PDF] [Video] [Code]

Humanoid Goalkeeper: Learning from Position Conditioned Task-Motion Constraints

Junli Ren*, Junfeng Long*, Tao Huang, Huayi Wang, Zirui Wang, Feiyu Jia, Wentao Zhang, Jingbo Wang†, Ping Luo†, Jiangmiao Pang†

Under Review, 2025

[Website] [PDF] [Video] [Code]

Towards Adaptable Humanoid Control via Adaptive Motion Tracking

Tao Huang, Huayi Wang, Junli Ren, Kangning Yin, Zirui Wang, Xiao Chen, Feiyu Jia, Wentao Zhang, Junfeng Long, Jingbo Wang†, Jiangmiao Pang†

International Conference on Robotics and Automation (ICRA), 2026
(Oral Presentation)

[Website] [PDF] [Video] [Code]

VB-Com: Learning Vision-Blind Composite Humanoid Locomotion Against Deficient Perception

Junli Ren, Tao Huang, Huayi Wang, Zirui Wang, Qingwei Ben, Jiangmiao Pang†, Ping Luo†

International Conference on Robotics and Automation (ICRA), 2026

[Website] [PDF] [Video]

BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds

Huayi Wang, Zirui Wang, Junli Ren, Qingwei Ben, Tao Huang, Weinan Zhang†, Jiangmiao Pang†

Robotics: Science and Systems (RSS), 2025
(Oral Presentation)

[Website] [PDF] [Video]

Learning Humanoid Standing-up Control across Diverse Postures

Tao Huang, Junli Ren, Huayi Wang, Zirui Wang, Qingwei Ben, Muning Wen, Xiao Chen, Jianan Li, Jiangmiao Pang†

Robotics: Science and Systems (RSS), 2025
(Outstanding Systems Paper Award Finalist - Top 4)

[Website] [PDF] [Video] [Code]

Diversity-Aware Self-Paced Data Selection for LLM Fine-Tuning

Yingxuan Yang, Huayi Wang, Muning Wen, Xiaoyun Mo, Qiuying Peng, Jun Wang, Weinan Zhang†

European Conference on Artificial Intelligence (ECAI), 2025

[PDF]

Education

The University of Hong Kong The University of Hong Kong

2026.09 - Present, Ph.D. Student

MMLab@HKU

Advisor: Prof. Ping Luo

Shanghai Jiao Tong University Shanghai Jiao Tong University

2022.09 - 2026.06, Bachelor's Degree

Major: Artificial Intelligence

Advisor: Prof. Weinan Zhang

Selected Awards

Best Systems Paper Award Finalist (Top 4), RSS, 2025
SenseTime Scholarship (30 undergraduate AI researchers nationwide), SenseTime, 2025



Design and source code from Jon Barron's website.