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.

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 sensory inputs, which facilitates learning of robust and generalizable policies.

Zeyi Liu* ,Arpit Bahety* ,Shuran Song
Conference on Robot Learning (CoRL), November 2023
Website  •   ArXiv  •   Video  •   Code

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.

Zeyi Liu ,Zhenjia Xu ,Shuran Song
Conference on Robot Learning (CoRL), December 2022
Website  •   ArXiv  •   Video  •   Code

TL;DR: A toy-inspired simulated learning environment for embodied agents to acquire object manipulation, inter-object relation reasoning, and goal-conditioned planning skills.