Papers
2
Total Citations
53
H-Index
2
About
Haotian Yu is a leading researcher in optical metrology and intelligent robotics, whose work bridges precision 3D measurement and autonomous navigation. His primary contributions lie in developing advanced structured light techniques for large-scale industrial inspection and indoor robotic perception. In his highly cited 2019 paper (38 citations), Yu introduced a novel method combining line structured light with industrial robots, enabling accurate three-dimensional shape measurement of large-scale objects—a critical advancement for automated manufacturing and quality control. More recently, his pioneering work on FPP-SLAM (2023, 15 citations) redefines indoor simultaneous localization and mapping by integrating fringe projection profilometry, addressing the limitations of traditional LiDAR-based systems in GNSS-denied environments. This innovation directly impacts autonomous driving, indoor robotics, and augmented/virtual reality applications. Yu’s research demonstrates a rare ability to fuse optical engineering with real-time sensing, producing solutions that are both theoretically rigorous and practically deployable. With a growing citation record and a clear trajectory toward intelligent, vision-based robotic systems, Haotian Yu stands out as a rising figure in the fields of 3D imaging and robotic perception.
Research Focus
Key Achievements
Top Papers
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