Picture taken by Tina Lin
Hi, I'm a second-year PhD student at Stanford University, advised by Professor Shuran Song and part of the REAL lab. Previously, I was an undergraduate student at Columbia University studying Computer Science and Applied Math.
My work focuses on robot perception and manipulation. More specifically, I'm interested in developing methods for embodied agents to better perceive and understand the environment through multimodal data (e.g. vision, language, audio), which facilitates learning of robust and generalizable policies.
TL;DR: REFLECT is a framework that leverages Large Language Models (LLMs) for robot failure explanation and correction, based on a hierarchical summary of robot past experiences generated from multisensory data.
TL;DR: A toy-inspired simulated learning environment for embodied agents to acquire object manipulation, inter-object relation reasoning, and goal-conditioned planning skills.
* indicates equal contribution
I hold a passion for teaching and empowering minorities in academia/tech industry.