Yuzhen Song

I am a third-year undergraduate student majoring in Robotics Engineering at Southern University of Science and Technology. My research focus is on the intersection of Reinforcement Learning, Learning-based Control, and Autonomous Systems.

Current Research Focus:

• Sim-to-Real & Reinforcement Learning: Developing high-fidelity simulation infrastructures in NVIDIA Isaac Sim and MuJoCo to train and deploy robust RL policies for robotic manipulation.
• Embedded Control Systems: Designing STM32-based real-time control architectures for human gait assistance. I am currently finalizing a manuscript on this work for submission to IEEE Robotics and Automation Letters (RA-L).
• Autonomous Navigation: Implementing full-stack autonomous pipelines (SLAM, Nav2, Fast-Planner) to enable real-time trajectory planning for both aerial and ground robots in complex environments.

🚀 Seeking 2026 Research Internships

(July – Dec 2026)

I am seeking visiting researcher opportunities for the second half of 2026. Having completed most of my undergraduate coursework, I can fully dedicate myself to a 6-month full-time research project.