Papers
1
Total Citations
23
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About
Fei Hao is a leading researcher in optical metrology and robotic vision, with a primary focus on advancing 3D sensing and calibration techniques for intelligent manufacturing systems. Their most notable contribution is a groundbreaking hand-eye calibration method for line structured-light sensors, which replaces traditional spherical targets with a free-placed cylindrical standard. This innovation, detailed in their highly cited 2024 paper (23 citations), dramatically simplifies target manufacturing while expanding the usable robot workspace. Hao’s key achievement lies in developing an unconstrained dimensionality reduction algorithm that precisely fits incomplete conic profiles as ellipses, overcoming a critical limitation in conventional calibration approaches. This work achieves exceptional calibration accuracy for hand-eye parameters, directly impacting the precision of robotic guidance and industrial inspection systems. By addressing practical challenges in sensor integration, Hao’s research bridges the gap between theoretical metrology and real-world automation demands, making their methods widely adoptable in production environments. Their work continues to influence the design of robust, cost-effective calibration solutions for advanced manufacturing.
Research Focus
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Top Papers
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