Andrew Stirling
Hi! My name is Andrew Stirling. I am a Master’s (Thesis) student in Montréal at McGill University studying Robotics, with the DECAR Lab, which conducts fundamental and applied research on state estimation (navigation), guidance, and control.
I research state estimation for robotic systems in GNSS (GPS)-denied environments fusing ultra-wideband (UWB) technology with cameras, IMUs, and other sensors to tackle SLAM and localization challenges.
Raised in Calgary, at the foot of the Canadian Rockies, I am passionate about applying Robotics to human-centered and environmental challenges. Specifically, I am interested in leveraging my background in estimation and perception to improve field robotics for ocean, agricultural, and healthcare applications.
news
| Dec 10, 2025 | Our paper “Gaussian Variational Inference with Non-Gaussian Factors for State Estimation: A UWB Localization Case Study” was accepted for publication in the IEEE Robotics and Automation Letters (RA-L), and will be presented at ICRA 2026 in Vienna! |
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| Sep 01, 2024 | I started my M.Sc at McGill University with the DECAR lab! |
selected publications
- Gaussian Variational Inference with Non-Gaussian Factors for State Estimation: A UWB Localization Case StudyIEEE Robotics and Automation Letters, Dec 2025arXiv:2512.19855 [cs]