Papers
3
Total Citations
125
H-Index
2
About
Dawei Li is a leading researcher in robotic manufacturing and precision assembly, with a primary focus on enhancing the positional accuracy and compliance of industrial robots for high-stakes applications. His most influential work, “An error-similarity-based robot positional accuracy improvement method for a robotic drilling and riveting system” (2016, 78 citations), introduced a novel approach to correct systematic errors, significantly boosting the reliability of automated drilling and riveting in aerospace manufacturing. Building on this, his 2017 study on Cartesian compliance characterization (45 citations) provided a foundational model for understanding and predicting robot deformation under load, enabling more precise control in complex tasks. More recently, Li has advanced intelligent assembly by integrating machine vision with SCARA robots, as demonstrated in his 2022 paper on lithium battery assembly (2 citations), where he automated the delicate process of battery cell placement. With over 125 combined citations, Li’s work bridges theoretical modeling and practical implementation, offering critical insights for students and engineers aiming to improve robot performance in high-precision manufacturing. His contributions are particularly valuable for those exploring error compensation, compliance analysis, and vision-guided automation.
Research Focus
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Top Papers
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