Hi, I'm Andrew!

I'm a 4th-year undergraduate student at the University of Toronto studying Engineering Science with a major in Robotics.

My goal is to design robots that will reduce the amount of dangerous and tedious tasks in our lives. To accomplish this, I hope to create methods that will enable robots to act in diverse, real-world situations. My current interests are in how robots can learn to perform long-horizon tasks and understand the physical world.

  LinkedIn   Google Scholar   GitHub
Current Long-Horizon Imitation with Foundation Models, under Florian Shkurti and Shuang Li
Previous On-Device AI, Machine Learning Systems at Qualcomm
Task and Motion Planning, RVL under Florian Shkurti
Autonomous Driving Dataset, ASRL under Tim Barfoot
Phased Array Power Measurement, Sunnybrook Research Institute
Publications and Preprints
STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent

Under Review

Yewon Lee, Andrew Zou Li, Philip Huang, Eric Heiden, Krishna Murthy Jatavallabhula, Fabian Damken, Kevin Smith, Derek Nowrouzezahrai, Fabio Ramos, Florian Shkurti

[paper]   [website]  

An earlier version appears in CoRL - Learning Effective Abstractions for Planning Workshop, 2023

Stepping Forward on the Last Mile

NeurIPS, 2024

Chen Feng, Shaojie Zhuo, Xiaopeng Zhang, Ramchalam Kinattinkara Ramakrishnan, Zhaocong Yuan, Andrew Zou Li

[paper]  

With Qualcomm AI Research

Chemistry Lab Automation via Constrained Task and Motion Planning

arXiv, 2022

Naruki Yoshikawa*, Andrew Zou Li*, Kourosh Darvish*, Yuchi Zhao*, Haoping Xu*, Artur Kuramshin, Alán Aspuru-Guzik, Animesh Garg, Florian Shkurti

[paper]   [website]

Large Language Models for Chemistry Robotics

Autonomous Robots, 2023

Naruki Yoshikawa*, Marta Skreta*, Kourosh Darvish*, Sebastian Arellano-Rubach, Zhi Ji, Lasse Bjørn Kristensen, Andrew Zou Li, Yuchi Zhao, Haoping Xu, Artur Kuramshin, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg

[paper]   [website]  
Boreas: A Multi-Season Autonomous Driving Dataset

International Journal of Robotics Research, 2023

Keenan Burnett, David J. Yoon, Yuchen Wu, Andrew Zou Li, Haowei Zhang, Shichen Lu, Jingxing Qian, Wei-Kang Tseng, Andrew Lambert, Keith Y.K. Leung, Angela P. Schoellig, Timothy D. Barfoot

[paper]   [website]   [code]
* = Equal Contribution
Arts

Besides robotics, I studied a bit of music and digital arts. Some highlights include an Associate's Diploma in Piano Performance from the Royal Conservatory of Music and a photograph (below) published in Canadian Geographic's Canadian Parks Calendar Series (2020-2021). The rest of my photography portfolio is here.

Palette: