TRIO Lab Trustworthy Robotics, Intelligence, and Optimization Lab
Buqing Ou Buqing Ou Master's Student



Buqing is a second-year M.S. student working at the intersection of robotics, reinforcement learning, optimization, and machine learning. Their research focuses on sample-efficient robot learning, including policy optimization, Bayesian optimization, and learning-based control for continuous control and manipulation tasks. More broadly, Buqing is interested in developing autonomous robotic systems that are adaptive, efficient, and reliable in complex real-world environments. Outside of research, they enjoy jigsaw puzzles, singing, and hiking.

Search for Buqing Ou's papers on the Research page