Yan-Shuo Li

My research focuses on multi-robot systems, decision making, and reinforcement learning. I developed learning-based algorithms for multi-robot search and exploration, with a particular interest in submodular optimization under uncertainty. Currently, I am extending these ideas to a robotic chef project, where I explore how Vision-Language-Action (VLA) models, combined with submodularity, can enable robots to perform complex cooking tasks in a reliable and efficient manner.

I received my M.S. in Mathematics from National Central University, where I was advised by Prof. Kuo-Shih Tseng. I completed my B.S. in Computer and Communication Engineering at Ming Chuan University, working with Prof. Chaur-Heh Hsieh on deep learning models for atrial fibrillation detection.

Prior to returning to academia, I gained industry experience at EverComm and TAO Info, applying AI to solar energy monitoring and pharmaceutical automation.