Shun Zhang
Undergraduate at Anhui University. Focusing on Robotics, Embodied AI, and Control.
I am currently a junior undergraduate student majoring in Electronics Information Engineering at Anhui University (Expected graduation: June 2027), where I rank in the Top 3% of my cohort with a GPA of 4.31/5.0.
My research interests primarily lie at the intersection of Robotics, Embodied AI, Reinforcement Learning, and Computer Vision. I am passionate about bridging the gap between advanced algorithms and real-world physical systems. Currently, my research focuses on adaptive control for omnidirectional vehicles and deploying lightweight deep learning models (e.g., YOLO) onto edge computing platforms like Huawei Ascend CANN.
selected publications
- AAS
Reinforcement Learning-Based Adaptive Fuzzy Control for Mecanum-Wheeled Vehicle With Input-and-Output ConstraintsUnder Revision at Acta Automatica Sinica, 2025 - TSMC-S
Intermediate-Time Output Constrained Adaptive Neural Control for an Uncertain Mecanum-Wheeled Omnidirectional Vehicle SystemUnder Revision at IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2026