About me

I got my PhD from Clemson University doing research in multi-robot task and motion planning with a human-in-the-loop. The research lies at the intersection of multi-robot systems, formal methods, and Bayesian statistical learning. The goal is to develop task and motion planning algorithms that can generate trustworthy robot behaviors. “Trustworthy” means humans are willing to collaborate or rely on autonomous robots in risky task scenarios. The specific techniques being investigated are formal synthesis, interactive machine learning, Bayesian inference & optimization, and reinforcement learning (RL). The key application area is navigation in inner rooms (e.g., manufacture) and off-road (e.g., slopes, trees) with a human-in-the-loop. I received my Ph.D. in 2022 from Mechanical Engineering at Clemson University, MS in 2016, and BS in 2013 from Mechanical Engineering at Jilin University, China.