Chengqi Meng

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About

Chengqi Meng is a researcher focused on advancing the precision and reliability of industrial robotics, with a primary emphasis on kinematic calibration and parameter compensation. His most notable contribution is a novel calibration method for 6R robots, detailed in his 2023 paper “Robot 10 parameter compensation method based on Newton–Raphson method.” This work introduces an innovative approach that indirectly compensates for 25 modified Denavit–Hartenberg (MDH) parameters using only 10 key parameters, significantly simplifying the calibration process while enhancing absolute positioning accuracy. By leveraging the Newton–Raphson iterative technique, Meng’s method improves computational efficiency and practical applicability in real-world robotic systems. Although his work is early-stage, with his top-cited paper accumulating 3 citations, it represents a meaningful step toward more accessible and effective robot calibration. Meng’s research addresses a critical challenge in automation—achieving high precision without complex, time-consuming procedures—making his contributions valuable for both academic researchers and industry practitioners seeking to optimize robotic performance. His focus on parameter reduction and indirect compensation marks him as an emerging voice in the field of robotic kinematics and metrology.