Zi Cong Guo Student (ph.d.), GERAD share University of Toronto Education since Sep 2021 Ph.d. Navigation Using the Koopman Operator University of Toronto, Timothy D. Barfoot, director, James Richard Forbes, co-director Publications May 2025 Marginalizing and Conditioning Gaussians onto Linear Approximations of Smooth Manifolds with Applications in Robotics James Richard Forbes, Timothy D. Barfoot, and Zi Cong Guo International Conference on Robotics and Automation, Atlanta, GA, USA, 2025 BibTeX reference Aug 2024 Data-Driven Batch Localization and SLAM Using Koopman Linearization Zi Cong Guo, Frederike Dümbgen, James Richard Forbes, and Timothy D. Barfoot IEEE Transactions on Robotics, 40, 3964–3983, 2024 BibTeX reference Apr 2022 Koopman Linearization for Data-Driven Batch State Estimation of Control-Affine Systems Zi Cong Guo, Vassili Korotkine, James Richard Forbes, and Timothy D. Barfoot IEEE Robotics and Automation Letters, 7(2), 866–873, 2022 BibTeX reference News James Forbes wins the ICRA best paper award May 23, 2025 Congratulations to Professor James Forbes, Zi Cong (Daniel) Guo and Timothy Barfoot for winning this year's ICRA (International Conference on Robotics and Automation) best paper award for "Marginalizing and Conditioning Gaussians onto Linear Approximations of Smooth Manifolds with Applications in Robotics". This is a major achievement! Prizes and awards 2025 IEEE ICRA Best Conference Paper Award "Marginalizing and Conditioning Gaussians Onto Linear Approximations of Smooth Manifolds with Applications in Robotics", Zi Cong Guo, James Richard Forbes, Timothy Barfoot International Conference on Robotics and Automation (ICRA)
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