Jiahao FU
Papers
1
Total Citations
6
H-Index
1
About
Jiahao Fu is a researcher specializing in robotic vision and precision manufacturing, with a particular focus on hand-eye calibration for automated machining systems. His work addresses a critical challenge in vision-guided robotics: the accuracy of calibration between robotic arms and visual sensors. In his most cited paper, "A hand-eye calibration algorithm of binocular stereo vision based on multi-pixel 3D geometric centroid relocalization" (2021), Fu introduced a novel method that enhances calibration precision by leveraging multi-pixel 3D geometric centroid relocalization. This approach overcomes the limitations of traditional techniques that suffer from insufficient parameter constraints, directly improving the accuracy of binocular stereo vision systems in robotic applications. With 6 citations, this work has contributed to advancing the reliability of vision-guided robotic machining. Fu’s research is particularly valuable for industries requiring high-precision automated operations, such as aerospace and automotive manufacturing. His contributions underscore the importance of robust calibration algorithms in bridging the gap between computer vision and robotic control, making him a notable figure in the field of intelligent manufacturing and robotic perception.
Research Focus
Key Achievements
Top Papers
- 1