Haozhen Huang
Papers
2
Total Citations
5
H-Index
1
About
Haozhen Huang is advancing the frontier of precision 3D measurement and robotic vision, with a focus on overcoming the challenges of complex, noisy environments. His research centers on dynamic tracking, multi-view scanning, and global calibration for dual-arm hand–eye systems. Huang’s major contribution is the development of a novel dynamic tracking method for coded targets that robustly filters complex background noise, achieving high-accuracy localization in real-world industrial settings. His most cited work (4 citations) introduces this breakthrough, while his 2025 paper proposes a global calibration method for dual-arm systems, integrating a multi-view 3D scanning approach based on ICP (M3DHE-ICP) with multi-frequency heterodyne coding. This method enables robust, collaborative 3D measurement under challenging noise conditions, a critical step toward reliable automation. Though early in his career, Huang’s work has already demonstrated significant impact, offering practical solutions for high-precision metrology and robotic perception. His achievements promise to shape the future of intelligent manufacturing and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2