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个人简介
I am broadly interested in robotics, computer vision, optimization, and machine learning. My long-term research vision is to enable safe and trustworthy autonomy for a broad range of high-integrity applications (e.g., autonomous driving, space robotics), by designing tractable and provably correct algorithms that enjoy rigorous performance guarantees, and validating them on real robotic systems.
My future research aims to start from certifiable geometric perception, and reach my vision of system-level safe and trustworthy autonomy, by building an advanced toolbox combining theory, computation, and system validation. I plan to execute two important steps towards this vision, where the first step aims to integrate certifiable perception with deep feature learning to achieve safe perception, and the second step aims to integrate safe perception with safe action to construct system-level safety guarantees.
My future research aims to start from certifiable geometric perception, and reach my vision of system-level safe and trustworthy autonomy, by building an advanced toolbox combining theory, computation, and system validation. I plan to execute two important steps towards this vision, where the first step aims to integrate certifiable perception with deep feature learning to achieve safe perception, and the second step aims to integrate safe perception with safe action to construct system-level safety guarantees.
研究兴趣
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arxiv(2024)
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arxiv(2024)
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IEEE Robotics and Automation Lettersno. 99 (2023): 1-8
CVPR 2023 (2023): 8947-8958
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