Sang Yeong Choi

ABB (Switzerland), Sensors (United States), Myongji University

Papers

9

Total Citations

107

H-Index

5

About

Sang Yeong Choi is a leading figure in industrial robotics, with a career dedicated to bridging the gap between theoretical automation and practical factory-floor performance. His research centers on robot calibration, offline programming, and the development of specialized service robots for inspection and material handling. Choi’s most impactful work, “Practical industrial robot zero offset calibration” (52 citations), provides a cost-effective methodology for dramatically improving the accuracy of standard industrial robots, a critical need for modern manufacturing. He further advanced manufacturing flexibility through his work on “Automatic offline program calibration in robotic cells” (15 citations) and “Lead-through robot teaching” (12 citations), which simplify robot programming for non-automotive industries. Beyond traditional manufacturing, Choi has engineered innovative solutions for heavy industry, including a modular air-gap crawler for in-situ motor and generator inspection and a robotic automated battery sorting system. His contributions demonstrate a consistent focus on creating practical, deployable systems that enhance precision, efficiency, and safety across diverse industrial sectors.

Research Focus

Key Achievements

5
H-Index
9
Papers
107
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Practical industrial robot zero offset calibration
52 citations · 2008
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: ABB (Switzerland), Sensors (United States), Myongji University

Top Papers

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    Lead-through robot teaching
    12 citations · 2013
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago