Peiyang Wang

Peiyang Wang | 王沛杨

I am a Ph.D. student at Department of Computer Science and Technology, Nanjing University, advised by Prof. Yang Gao and co-advised by Prof. Jing Huo and Prof. Jieqi Shi.

My research interests lie in Robotics and Embodied AI, focusing on humanoid loco-manipulation and I had conducted some research in the field of UAV Vision-Language-Navigation before. I am also interested in scalable data making and collecting tasks. My research vision is to equip humanoid robots operating in complex real-world environments with enhanced Dexterity, Adaptability, and Effectiveness.

Email  /  GitHub

Portrait of Peiyang Wang

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👨‍🎓Experience

Nanjing University

Department of Computer Science and Technology

Ph.D. student in Computer Science

Advisor: Prof. Yang Gao and Prof. Jing Huo

2024.9 - Present

Tongji University

School of Civil Engineering & School of Law

B.E. from School of Civil Engineering

B.E. from School of Law

2020.9 - 2024.7

🏆Awards & Honors

📝Publications

*: joint first author; † corresponding author(s)

FineCog-Nav poster

FineCog-Nav: Integrating Fine-grained Cognitive Modules for Zero-shot Multimodal UAV Navigation

Dian Shao†, Zhengzheng Xu, Peiyang Wang, Like Liu, Yule Wang, Jieqi Shi, Jing Huo

Findings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026 Findings)

project page / code

Wh0 poster

Wh0: World-Model-Driven Human-to-Robot Data Scaling for Visual Language Action Models

Yangtao Chen*, Zixuan Chen*, Peiyang Wang*, Yong-Lu Li, Jing Huo, Jieqi Shi, Yang Gao

RSS 2026 RW-M Workshop

project page / code / arXiv

Wh0 uses generative video world models to synthesize WM-H, a 50k-episode dataset of egocentric human-hand manipulation videos, and co-trains it with limited robot data to unlock dexterous manipulation capabilities in pretrained VLA models.

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