Bo-Ruei (Ray) Huang

I'm a senior undergrad double major in electrical engineering and computer science at National Taiwan University, advised by Shao-Hua Sun as part of NTU Robot Learning Lab.

Currently, I'm visiting MIT CSAIL as a visiting student, working with Jiayuan Mao, Xiaolin Fang, Leslie Pack Kaelbling, and Joshua B. Tenenbaum. I spent the summer of 2023 at Caltech GPS working with Yuk L. Yung.

Email (b09901171 [AT] ntu.edu.tw)  /  CV  /  Google Scholar  /  Twitter  /  GitHub  /  LinkedIn

News

Research

The goal of my research is to make robots learn to help humans in their daily lives, especially in long-horizon and open-world tasks. I am interested in reinforcement learning, imitation learning, planning, and representation learning.

Pre-Prints

KALM uses VLMs to automatically generate task-relevant keypoints for better generalization in robot manipulation tasks.

Publications

DIFO is a learning from demonstration algorithm that integrates diffusion models to model state transitions and provide robust rewards to improve policy learning without action labels.

An improved machine learning algorithm refines aerosol data from OCO satellite spectra to enhance CO2 retrieval accuracy and advance climate impact models of volcanic aerosols.

Template