Papers

5

Total Citations

176

H-Index

5

About

Jae Won Jeong is a pioneering researcher in robotics, whose work has fundamentally advanced the fields of parallel mechanisms, robot kinematics, and operational space control. His early contributions focused on precision measurement systems, most notably developing a parallel wire mechanism for measuring robot pose and end-effector position—a foundational innovation that has garnered over 117 citations collectively. This work remains essential for high-accuracy robotic calibration and workspace analysis. Jeong’s later research has been transformative in robot control theory. He enhanced the Operational Space Formulation (OSF) by integrating Time-Delay Estimation (TDE), creating a practical, decentralized control framework that achieves dynamic consistency without complex modeling. His 2012 paper on this topic (33 citations) is widely cited for solving real-world implementation challenges. Additionally, his sensorless external force estimation method (20 citations) enabled impedance control without physical sensors, a breakthrough for compliant and safe human-robot interaction. His task-priority framework for highly redundant robots (2009) further demonstrated his ability to solve algorithmic singularities, offering a computationally efficient method for managing multiple tasks. With a career spanning from foundational measurement techniques to advanced control strategies, Jeong’s work has shaped modern robotics, providing tools that are both theoretically rigorous and practically deployable.

Research Focus

Key Achievements

5
H-Index
5
Papers
176
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
Kinematics and workspace analysis of a parallel wire mechanism for measuring a robot pose
80 citations · 1999
📈 Most Prolific Year: 1999 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Korea Advanced Institute of Science and Technology, Samsung (South Korea)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago