George Xue
Embodied AI Researcher | Engineering Science Undergraduate
University of Toronto | LEAF Lab
Embodied AI Researcher | Engineering Science Undergraduate
University of Toronto | LEAF Lab
I am George Xue, an undergraduate student in the Engineering Science program at the University of Toronto. Currently, I am working at the Learning, Embodied Autonomy, and Forecasting (LEAF) Lab at the University of Toronto Institute for Aerospace Studies (UTIAS).
My research interests focus on robotics, with a particular emphasis on autonomous systems, machine learning applications in robotics, and developing innovative solutions for real-world robotic challenges.
Through my academic journey and research experiences, I aim to contribute to the advancement of robotics technology and its applications in solving complex problems.
Developed a robust navigation system for mobile robots operating in dynamic environments using ROS and computer vision techniques.
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Implemented a framework for precise robotic manipulation tasks with real-time feedback and adaptive control strategies.
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Applied deep learning techniques to enhance robot perception capabilities in complex and unstructured environments.
Learn MoreInternational Conference on Robotics and Automation (ICRA)
2025 (Upcoming)
View PaperIEEE Robotics and Automation Letters (RA-L)
2024 (Under Review)
View Preprint2023 - Present
LEAF Lab, UTIAS, University of Toronto
Working on cutting-edge robotics research projects, focusing on autonomous systems and machine learning applications in robotics.
Summer 2022
Tech Innovation Lab
Assisted in the development and testing of robotic systems for industrial applications, implementing control algorithms and conducting performance evaluations.
2021 - 2022
Robotics Laboratory, University of Toronto
Participated in research projects related to robot perception and navigation, contributing to algorithm development and experimental validation.
Download my complete resume to learn more about my education, research experience, and technical skills.
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