Chang-Won Oh
Papers
1
Total Citations
6
H-Index
1
About
Chang-Won Oh is a researcher specializing in the dynamics and control of robotic machining systems, with a particular focus on model parameter identification and vibration analysis. His most-cited work, "Model Parameter Identification of a Machining Robot Using Joint Frequency Response Functions" (2023), has garnered 6 citations, establishing a foundation for improving the precision and stability of industrial robots in manufacturing processes. Oh's contributions center on developing robust methods to characterize robot joint dynamics, enabling more accurate simulations and real-time control strategies that mitigate chatter and enhance machining quality. This work is critical for advancing robotic automation in high-precision industries such as aerospace and automotive manufacturing. By integrating frequency response functions with parameter estimation techniques, Oh has provided engineers with practical tools to optimize robot performance without extensive experimental trials. His research bridges the gap between theoretical dynamics and applied robotics, offering tangible solutions for reducing errors in automated machining. With a growing citation impact, Chang-Won Oh is recognized as an emerging voice in the field of robotic manufacturing, where his insights continue to shape how researchers and practitioners approach system identification and control.
Research Focus
Key Achievements
Top Papers
- 1