Shibin Yin
Papers
9
Total Citations
374
H-Index
7
About
Shibin Yin is a prominent researcher specializing in robotic metrology, 3D scanning systems, and industrial calibration technologies. His work sits at the intersection of computer vision, robotics, and precision manufacturing, with a focus on developing practical, high-accuracy measurement solutions for modern industrial environments. Yin's most influential contribution — a 2014 study on integrated 3D scanning systems for large-scale metrology — has garnered 115 citations, establishing him as a leading voice in high-accuracy spatial measurement. His broader body of work addresses a critical challenge in industrial robotics: ensuring that robot-mounted sensors operate with reliable geometric precision. His 2012 paper on robot-laser scanning system calibration (60 citations) laid important groundwork for integrating laser sensors with 6-DOF industrial robots, while his 2013 vision-based self-calibration method (57 citations) offered a field-deployable approach to kinematic error correction without expensive external apparatus. Further contributions explore thermal error compensation, tool center point recovery, and monocular 6-DOF pose estimation for intelligent grasping — reflecting a sustained effort to make robotic inspection systems more adaptive and self-sufficient. With over 370 cumulative citations, Yin's research has meaningfully advanced the reliability and accessibility of robotic visual measurement in real-world manufacturing contexts.
Research Focus
Key Achievements
Top Papers
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- 3Calibration technology in application of robot-laser scanning system60 citations · 2012
- 4A Vision-Based Self-Calibration Method for Robotic Visual Inspection Systems57 citations · 2013
- 5A novel TCF calibration method for robotic visual measurement system30 citations · 2014
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- 8Rapid Global Calibration Technology for Hybrid Visual Inspection System7 citations · 2017
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