Aiguo Li
Papers
9
Total Citations
64
H-Index
4
About
Aiguo Li is a researcher specializing in robotic measurement systems, structured light vision sensing, and precision calibration techniques for industrial applications. His work sits at the intersection of computer vision, robotics, and three-dimensional metrology, with a sustained focus on overcoming the limitations of traditional coordinate measuring machines (CMMs) through flexible, robot-integrated scanning solutions. Li's most significant contribution is his development of high-precision calibration methodologies for structured light vision sensors mounted on industrial robot arms. His 2016 paper on this topic has garnered 33 citations, establishing it as a key reference in the field. Across a series of influential works from 2008 to 2010, he systematically advanced hand-eye calibration frameworks, introducing novel approaches including virtual fixed-point observation, multi-thread particle swarm optimization, and adaptive differential evolution algorithms to solve calibration as an optimization problem. Collectively accumulating over 60 citations, Li's body of work has provided both foundational theory and practical tools for researchers and engineers seeking to deploy robot-based 3D digitalization systems with industrial-grade accuracy. His contributions are particularly valuable for automated manufacturing environments where flexible, high-precision surface measurement is essential.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robot calibration by observing a virtual fixed point9 citations · 2009
- 3Robot calibration based on multi-thread particle swarm optimization6 citations · 2008
- 4Calibration of a robot-based measuring system5 citations · 2009
- 5Hand-to-eye calibration for 3D surface digitalisation system3 citations · 2009
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