Helson Go is a Ph.D. Candidate with the FSC lab, specializing in slung payload motion planning and trajectory optimization.
Research Interests
Optimal control, slung payload control, multicopter flight dynamics, linear control
Education
Ph.D. – University of Toronto – Aerospace Engineering (2019-Present)
B.Eng – McGill University – Mechanical Engineering (2016 – 2019)
Publications
2023
Perception-Aware Image-Based Visual Servoing of Aggressive Quadrotor UAVs Proceedings Article
In: IEEE/ASME International Conference on Advanced Intelligent Mechatronics, IEEE, Seattle, 2023.
Perception-Aware Image-Based Visual Servoing of Aggressive Quadrotor UAVs Journal Article
In: IEEE/ASME Transcations on Mechatronics, 2023.
Data-Driven and Robust Path-following Control of a Quadrotor Slung Load Transport System Proceedings Article
In: AIAA SciTech, 2023.
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