LLM
My primary interest for doctoral research.
LLM · EMBODIED AI · ROBOTICS
Haozhe Zhao
Undergraduate at Fudan University · Incoming direct-entry PhD student at Peking University
I am a final-year undergraduate at Fudan University and will pursue a direct-entry PhD at Peking University under Prof. Ling Yang.
My research interest is LLM. Previously, I independently developed a natural-language-driven humanoid motion generation and control framework and collaborated on a UWB- and UKF-based multi-robot localization project. These experiences have shaped my interest in how intelligent models interact with physical systems.
Research & project areas
01 / INTERESTSHumanoid motion generation
An individual project exploring the pipeline from natural-language instructions to robot motion generation and tracking control.
Multi-robot localization
A collaborative project using UWB ranging and UKF fusion to improve relative localization among mobile robots.
Selected projects
02 / PROJECTSG1-MotionFlow
A natural-language-driven humanoid motion generation and control framework connecting semantic instructions, motion generation, and low-level tracking for the Unitree G1.
Code & demo ↗UWB-Enhanced Multi-Robot Localization
A collaborative multi-robot localization system that fuses wheel odometry with inter-robot UWB ranging using an Unscented Kalman Filter (UKF).
View project ↗Honors & Awards
03 / RECOGNITIONFudan University Outstanding Student Scholarship, First Class
Fudan University Outstanding Student Scholarship, First Class
National Scholarship
Education
04 / EDUCATIONPeking University · Direct-entry PhD
Advisor: Prof. Ling Yang
Fudan University · Undergraduate
Final-year student
Connect
Feel free to email me at zhaohaozhe86@gmail.com