Chao Qin is a Ph.D. Candidate with the Flight Systems and Control lab. His research focuses on the visual servo based control of quadrotors for the purposes of enabling autonomous drone racing.
Research Interests
Aggressive quadrotor flight, visual servo based control, autonomous drone racing
Education
Ph.D. Student, University of Toronto, Aerospace Science and Engineering (Sept. 2020 – Present)
M.Sc. – Shanghai Jiao Tong University – Aerospace Engineering (2019)
B.Eng. – Xi’dian University – Electrical Engineering (2016)
Publications
2024
Time-Optimal Gate-Traversing Planner for Autonomous Drone Racing Proceedings Article
In: IEEE International Conference on Robotics and Automation, Best Paper Award on UAVs, Yokohama, Japan, 2024.
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.
2022
PCVPC : Perception Constrained Visual Predictive Control For Agile Quadrotors Proceedings Article
In: International Conference of Robotics & Automation (ICRA), 2022.
Model Predictive Spherical Image-Based Visual Servoing On SO ( 3 ) for Aggressive Aerial Tracking Journal Article
In: IEEE Robotics and Automation Letters, pp. submitted September 2022, 2022.
CPA-Planner : Motion Planner with Complete Perception Awareness for Sensing-Limited Quadrotors Journal Article
In: IEEE Robotics and Automation Letters, vol. (accepted), 2022.
2021
View Predictive Control for Autonomous Drone Racing Proceedings Article
In: International Conference on Intelligent Robots and Systems, pp. 1–7, 2021.
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