Papers

7

Total Citations

203

H-Index

5

About

Eunjeong Lee is a leading figure in robotics control, specializing in impact mitigation and vibration suppression for industrial and autonomous systems. Her most influential work, "Design of learning input shaping technique for residual vibration suppression in an industrial robot" (2006, 120 citations), introduced a practical method to eliminate residual vibrations in six-degree-of-freedom robots without real-time frequency estimation—a breakthrough that enhances precision in manufacturing. Lee is also renowned for her pioneering "bang-bang impact control" framework (2003, 55 citations), which enables robotic manipulators to seamlessly transition between free space, impact, and constrained motion using a single, robust controller. This hybrid impedance/time-delay approach stabilizes robots upon collision with stiff environments, eliminating the need for gain switching. Her research has garnered over 200 citations, reflecting its profound influence on industrial automation and safe human-robot interaction. Beyond traditional robotics, Lee has explored biomimetic design, developing a soft, autonomous micro-robotic fish (2010) that leverages flexible materials and electromagnets for energy-efficient locomotion. Her work bridges theoretical control theory and practical engineering, offering students and researchers a masterclass in creating adaptive, resilient robotic systems.

Research Focus

Key Achievements

5
H-Index
7
Papers
203
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Design of learning input shaping technique for residual vibration suppression in an industrial robot
120 citations · 2006
📈 Most Prolific Year: 2006 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Korea Advanced Institute of Science and Technology, Harvard University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago