Gisung Jeong

Wonkwang University

Papers

1

Total Citations

3

H-Index

1

About

Gisung Jeong is a researcher specializing in numerical methods and their applications in robotics and industrial engineering. His primary research focuses on developing advanced computational techniques for solving differential equations, particularly in the context of robotic systems. Jeong's most notable contribution is the introduction of the Modified Improved Runge–Kutta Fifth-Order Five Stage (MIRK(5,5)) technique, a novel numerical method designed to solve second-order problems such as industrial robot arm dynamics. This approach significantly reduces the number of function evaluations per time step, enhancing computational efficiency without sacrificing accuracy. His work has been applied to model variations in angles of robot arm joints, offering practical improvements for real-time control and simulation in industrial settings. While his most-cited paper has garnered 3 citations, it represents a foundational step in optimizing Runge–Kutta methods for engineering applications. Jeong's research bridges theoretical numerical analysis and practical robotics, making his work valuable for students and researchers exploring efficient simulation techniques in mechanical and control engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A MODIFIED IMPROVED RUNGE–KUTTA FIFTH-ORDER FIVE STAGE TECHNIQUE TO STUDY INDUSTRIAL ROBOT ARM
3 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Wonkwang University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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