Jiahui Feng
Papers
4
Total Citations
17
H-Index
3
About
Jiahui Feng is a rising researcher in the field of intelligent robotic welding and precision calibration, with a focus on laser vision-guided systems and industrial robot accuracy. Their most significant contribution is a self-calibration method for robot end-effectors using spherical constraints, which simultaneously corrects geometric and deformation errors—a critical advancement for high-precision manufacturing. This work has already garnered 9 citations since 2024, reflecting its immediate relevance. Feng further advanced hand–eye calibration for laser profilers in welding applications by proposing a position-constrained calibration compensation algorithm, improving both accuracy and efficiency. In the domain of thick-plate welding, they developed an intelligent perception and seam tracking system based on a constant-focus optical path, enabling precise extraction and planning of complex 3D weld seams in large steel structures. Their most recent work introduces a novel laser vision-based method for extracting and tracking intersecting curve weld paths. Collectively, Feng’s research addresses fundamental challenges in robotic calibration and vision-guided automation, with clear applications in heavy industry and advanced manufacturing.
Research Focus
Key Achievements
Top Papers
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