Zhanyi Hu

Papers

Total Citations

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About

Zhanyi Hu is a leading researcher in robotics, computer vision, and 3D reconstruction, with a focus on developing fully automated systems for real-world applications. His major contributions include pioneering a vision-based, fully-automatic calibration method for hand-eye serial robots, which simultaneously calibrates the robot body, hand-eye relation, and binocular measurement system—a breakthrough that simplifies complex robotic setups (22 citations). He has also advanced indoor scene reconstruction by integrating drones and robots for complete and accurate 3D capture, addressing critical challenges in coverage and precision (17 citations). In earlier work, Hu explored motion estimation for catadioptric cameras using spherical objects, demonstrating innovative approaches to geometric vision (5 citations). His research bridges theoretical rigor and practical deployment, with notable achievements in automating calibration processes that reduce human intervention. Hu’s work is highly influential in robotics and computer vision communities, offering scalable solutions for automation, mapping, and navigation. His dedication to enhancing system autonomy and accuracy makes him a key figure in advancing intelligent robotic systems.