Yingchun Guo
Papers
2
Total Citations
12
H-Index
2
About
Yingchun Guo is a leading figure in the field of robotic remanufacturing and automated surfacing technologies. Her research focuses on the development of intelligent, robot-driven systems for restoring industrial components, with particular emphasis on calibration algorithms and automated welding processes. In her foundational work, Guo introduced a scanner external calibration algorithm based on fixed points, which significantly enhanced the precision of robotic systems used in remanufacturing—a contribution that has garnered 8 citations and remains a reference point for subsequent studies. She also pioneered a totally automatic MIG surfacing system via robot, demonstrating how automation can improve efficiency and consistency in metal deposition for part restoration. Though her most-cited works date from 2005, their impact endures in the growing field of sustainable manufacturing, where her methods underpin modern approaches to extending product life cycles. Guo’s achievements highlight her role as an early innovator in integrating robotics with remanufacturing, offering practical solutions that reduce waste and energy consumption. For students and researchers exploring automated repair technologies, her work provides a critical foundation for advancing closed-loop manufacturing systems.
Research Focus
Key Achievements
Top Papers
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