Papers
5
Total Citations
48
H-Index
3
About
Jinsong Lin is a leading researcher in industrial robotics, specializing in calibration methods, laser vision systems, and intelligent welding automation. His work addresses critical challenges in robot absolute positioning accuracy (APA) and hand-eye coordination, directly impacting manufacturing precision. Lin’s most cited paper (2021, 31 citations) proposes a calibration method using an error model of position to significantly enhance APA in industrial robots, tackling the "hidden" characteristics of coordinate systems. He further advances the field with a self-calibration method for robot end-effectors using spherical constraints (2024, 9 citations), which models both geometric and deformation errors. Lin’s contributions extend to practical applications, including a position-constrained calibration compensation algorithm for hand-eye calibration in laser vision systems (2024, 4 citations), improving welding accuracy and efficiency. His innovative work on a constant-focus optical path for intelligent seam tracking in thick plate weldments (2024, 3 citations) and a novel laser vision-based method for extracting and tracking intersecting curve paths (2025, 1 citation) demonstrates his commitment to advancing robotic welding for complex, large-scale structures. Lin’s research bridges theoretical modeling and real-world industrial needs, making him a key figure in modern robotics and automation.
Research Focus
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Top Papers
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