Lei Huang 黄磊
lh2921 at columbia dot edu

I am a PhD student at Columbia University, affiliated with ICON@Columbia. I am fortunate to be advised by Professor Zhengbo Zou. I train intelligent robots using imitation learning and reinforcement learning. I also apply them in downstream tasks, such as construction activities.

Mentoring: I am always interested in mentoring highly-motivated undergrads/masters in CIVIL/ME/CS/ECE. If you are at Columbia and want to discuss project ideas/research opportunities, feel free to shoot me an email.

Google Scholar / LinkedIn / Twitter / Github

Updates

Research

VIRL: Self-Supervised Visual Graph Inverse Reinforcement Learning

Lei Huang, Weijia Cai, Zihan Zhu, Chen Feng, Helge Rhodin, Zhengbo Zou
Conference on Robot Learning 2024
Website  •   Paper  •   Video

Dexterous manipulation of construction tools using anthropomorphic robotic hand

Lei Huang, Weijia Cai, Zihan Zhu, Zhengbo Zou
Automation in Construction 2023
Website  •   Paper  •   Video

RoboAuditor: Goal-Oriented Robotic System for Assessing Energy-intensive Indoor Appliance via Visual Language Models

Weijia Cai, Lei Huang, Zhengbo Zou
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys) 2023
Website  •   Paper  •   Video

Actively-exploring thermography-enabled autonomous robotic system for detecting and registering HVAC thermal leaks

Weijia Cai, Lei Huang, Zhengbo Zou
Automation in Construction 2023
Paper

To imitate or not to imitate: Boosting reinforcement learning-based construction robotic control for long-horizon tasks using virtual demonstrations

Lei Huang, Weijia Cai, Zihan Zhu, Zhengbo Zou
Automation in Construction 2023
Best Paper Award at the Canadian Society for Civil Engineering (CSCE) Annual Conference, Canada, 2022

Paper

TEA-bot: a thermography enabled autonomous robot for detecting thermal leaks of HVAC systems in ceilings

Weijia Cai, Lei Huang, Zhengbo Zou
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys) 2022
Paper


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