Won Jee Chung
Papers
12
Total Citations
45
H-Index
3
About
Won Jee Chung is a robotics researcher whose work centers on the design, control, and optimization of industrial robotic systems, with a particular focus on articulated and in-pipe cleaning robots. His most impactful contribution, the 2011 paper on optimal mechanism design of an in-pipe cleaning robot (16 citations), addresses the growing need for automated maintenance of garbage collection facilities in urban Korea. Chung has made significant advances in motion control for six-axis articulated robots, developing LabVIEW-based algorithms for joint-linear motion blending and quaternion-based orientation interpolation to improve speed and accuracy. His innovative use of genetic algorithms for optimal wrist design in wrist-hollow type arc-welding robots (2018, 4 citations) has practical implications for automotive manufacturing, enabling faster welding cycles and higher quality. Chung’s work also extends to structural analysis, including ANSYS-based gear stress analysis for lightweight parallel robot wrists (2022, 2 citations), and gain scheduling techniques for precise robot tuning. With a portfolio spanning over a decade, his research bridges theoretical optimization and practical implementation, offering valuable insights for students and engineers seeking to enhance industrial robot performance in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1Optimal mechanism design of in-pipe cleaning robot16 citations · 2011
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10