Yeon Joo Ahn
Papers
2
Total Citations
7
H-Index
2
About
Yeon Joo Ahn is a researcher specializing in the mechanical design and optimization of industrial robotic systems, with a particular focus on articulated robots used in advanced manufacturing. Her work centers on the kinematic and structural optimization of robot wrists, especially for arc-welding applications in the automotive industry. Ahn’s key contribution lies in developing an optimal wrist design for wrist-hollow type 6-axis articulated robots using genetic algorithms—a computational approach that mimics natural selection to solve complex engineering problems. This design innovation directly addresses a critical challenge in arc-welding: ensuring stable and consistent feeding of welding wire regardless of robot posture. By hollowing the wrist structure, the robot can achieve faster welding cycle times and higher weld quality, as wire feedability remains unaffected by joint movements. Her most-cited papers, published in 2018 and 2019, have garnered a combined 7 citations, reflecting early recognition of her work’s practical significance for automating automobile part manufacturing. Ahn’s research bridges the gap between theoretical optimization and real-world manufacturing efficiency, offering a tangible solution for improving productivity and quality in high-stakes production environments.
Research Focus
Key Achievements
Top Papers
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- 2