Andrew Stirling

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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.

selected publications

  1. ECC
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    Achieving Velocity Tracking Despite Model Uncertainty for a Quadruped Robot with a PD-ILC Controller
    Manuel Weiss, Andrew Stirling, Alexander Pawluchin, and 4 more authors
    In 2024 European Control Conference (ECC), Jun 2024
    DOI
  2. Preprint
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    LARK: A Low-Cost, Accurate, Occlusion-Resilient, Kalman Filter-Assisted Tracking System for Image-Guided Surgery
    George Sideris, Justin Cree, Andrew Stirling, and 2 more authors
    Research Square, Sep 2025
    Preprint
    DOI