About

Juyi Park is a robotics researcher whose work spans vibration control, robot manipulator dynamics, humanoid systems, and industrial automation. He is best known for pioneering the Learning Input Shaping Technique (LIST), a method that significantly advances residual vibration suppression in non-linear, time-varying systems where conventional approaches fall short. His 2006 paper on applying this technique to industrial robots — garnering 120 citations — demonstrated a practical, frequency-estimation-free solution for six-degree-of-freedom systems, making it one of the most impactful contributions in robot motion control. Earlier foundational work on LIST dating to 1998 further established his expertise in this domain, accumulating over 50 additional citations across related publications. Park has also made notable contributions to contact control, developing a bang-bang impact controller using hybrid impedance and time-delay control (55 citations) that enables seamless robot operation across free space, impact, and constrained motion — without requiring gain adjustments. His involvement in the Vanderbilt ISAC humanoid robot project (51 citations) reflects a broader interest in cognitive architectures for autonomous systems. More applied work includes portable welding robots designed for shipbuilding environments and iterative inverse kinematics algorithms for 5-DOF manipulators, demonstrating a consistent commitment to bridging theoretical robotics with real-world industrial challenges.

Research Focus

Key Achievements

7
H-Index
11
Papers
306
Total Citations
28
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: 2004 (2 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Daewoo Shipbuilding and Marine Engineering (South Korea), Vanderbilt University, Dynamic Systems (United States), Korea Advanced Institute of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago