Jin Liang
Papers
2
Total Citations
42
H-Index
2
About
Jin Liang is a leading researcher in industrial metrology and robotic inspection systems, with a focus on high-precision 3D scanning and automated quality control. His most impactful contribution is the development of a high-efficiency, high-precision automatic 3D scanning system for industrial parts, which integrates a novel scanning path planning algorithm. This work, published in 2022 and already garnering 37 citations, addresses critical challenges in manufacturing by enabling faster, more accurate dimensional inspection of complex components. Liang’s research also tackles the fundamental problem of kinematic calibration in redundant robotic systems. In his 2024 paper, he introduced a robust geometry self-calibration method based on differential kinematics, correcting orientation errors that cause deviations between simulated and actual viewpoint poses. This innovation enhances the reliability of robotic inspection cells that combine articulated arms with external turntables—a configuration increasingly adopted in industry for its efficiency and flexibility. By bridging the gap between simulation and real-world performance, Liang’s work directly improves automation accuracy in production lines. His contributions are particularly valuable for aerospace, automotive, and precision engineering sectors, where micron-level measurement fidelity is essential.
Research Focus
Key Achievements
Top Papers
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- 2