Yixin Weng

Papers

Total Citations

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About

Yixin Weng is a researcher specializing in precision measurement and robotic kinematics, with a particular focus on improving the accuracy of articulated arm coordinate measuring machines (AACMMs) and robotic arms. Their most-cited work, "A Novel Kinematic Parameters Identification Method for Articulated Arm Coordinate Measuring Machines Using Repeatability and Scaling Factor" (2018, 8 citations), introduces a cost-effective approach to enhance measurement precision without hardware upgrades. By developing kinematic parameter identification and compensation techniques, Weng addresses a critical challenge in industrial metrology and robotics—achieving high accuracy through algorithmic refinement rather than expensive mechanical improvements. This work has practical implications for manufacturing quality control and automation, where precise positioning is essential. Weng's contributions demonstrate a strong understanding of the interplay between mechanical design, mathematical modeling, and real-world application. Their research is particularly valuable for students and engineers seeking to optimize robotic systems through intelligent calibration methods, offering a pathway to improved performance in coordinate measurement and robotic arm operations.