Hi, I'm Andrew!
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 reason about long-horizon problems and understand the physical world.
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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
Under Review
An earlier version appears in Conference on Robot Learning - Learning Effective Abstractions for Planning Workshop, 2023
NeurIPS, 2024
arXiv, 2022
Large Language Models for Chemistry Robotics
Autonomous Robots, 2023
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.