Yeo Jung Yoon
Papers
9
Total Citations
366
H-Index
7
About
Yeo Jung Yoon is a robotics and advanced manufacturing researcher whose work sits at the dynamic intersection of robotic systems and additive manufacturing (AM). Best known for pioneering contributions to conformal and multi-resolution 3D printing, Yoon has fundamentally advanced how robots can overcome the geometric limitations of traditional planar-layer AM systems. His highly cited 2019 survey on robotics-integrated additive manufacturing (140 citations) established a comprehensive foundation for the field, while his companion works on nonplanar trajectory generation (76 and 49 citations) introduced practical computational frameworks enabling robots to print along complex curved surfaces — a significant leap beyond conventional flat-layer deposition. Yoon's research further addresses the longstanding trade-off between surface quality and build speed, exemplified by his robotic multi-resolution AM cell (47 citations) and its subsequent automated planning framework. His group has also extended robotic fabrication capabilities to large-surface spraying via mobile manipulators and developed multi-nozzle extrusion systems for conformal printing. More recently, Yoon has explored sensor-based adaptive deposition on deformable surfaces and self-supervised learning for robotic finishing tasks, signaling a move toward intelligent, perception-driven manufacturing. Collectively, his work has garnered over 360 citations, making him a notable contributor to next-generation smart manufacturing research.
Research Focus
Key Achievements
Top Papers
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- 3Trajectory Planning for Conformal 3D Printing Using Non-Planar Layers49 citations · 2018
- 4A Robotic Cell for Multi-Resolution Additive Manufacturing47 citations · 2019
- 5Automated Planning for Robotic Multi-Resolution Additive Manufacturing19 citations · 2021
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