Papers
1
Total Citations
8
H-Index
1
About
Yilei Li is a researcher whose work centers on precision measurement and robotics, with a particular focus on improving the accuracy and reliability of industrial robot systems. His key contributions lie in the development of novel measurement models for evaluating robot pose—the position and orientation of robotic arms—which is critical for high-precision manufacturing and automation. His most cited work, "A four-point measurement model for evaluating the pose of industrial robot and its influence factor analysis" (2017), introduces a direct measurement approach that reduces calculating error and measurement uncertainty, offering a practical solution for real-world industrial applications. With 8 citations, this paper has provided a foundational methodology for researchers and engineers seeking to enhance robot calibration and performance. Li’s work addresses the persistent challenge of aligning theoretical models with actual robot behavior, making his research valuable for advancing automation in fields like aerospace and automotive manufacturing. His achievements reflect a commitment to bridging the gap between measurement science and industrial robotics, offering tools that improve both accuracy and efficiency in complex production environments.
Research Focus
Key Achievements
Top Papers
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