Jun‐Hyun Oh

Pohang University of Science and Technology

Papers

2

Total Citations

77

H-Index

2

About

Jun-Hyun Oh is a control systems researcher whose work has made meaningful contributions to the field of robotics, particularly in the control of flexible joint robot manipulators. His research focuses on advanced nonlinear control methodologies, with a specialization in backstepping design approaches applied to complex robotic systems. Oh's most influential contribution, "Control of flexible joint robot system by backstepping design approach" (2002), has garnered 63 citations and addressed a longstanding challenge in robotics: controlling flexible joint manipulators without the restrictive assumptions that plagued earlier methods. Unlike preceding controllers, his proposed framework neither assumes weak joint flexibility nor requires joint acceleration measurements — practical limitations that had constrained real-world applicability. His follow-up work further refined this approach by enabling tracking control using only position measurements, eliminating the need for velocity sensors and broadening the feasibility of implementation in resource-constrained systems. Together, these contributions reflect a sustained effort to make robust, theoretically rigorous control solutions more accessible and deployable in real robotic applications. His research is particularly valuable for students and engineers working at the intersection of nonlinear control theory and robotic manipulator design, offering elegant solutions to problems of sensor dependency and model uncertainty.

Research Focus

Key Achievements

2
H-Index
2
Papers
77
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Control of flexible joint robot system by backstepping design approach
63 citations · 2002
📈 Most Prolific Year: 2002 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Pohang University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago