About

Wookyong Kwon is a robotics and control systems researcher whose work centers on advanced motion control for robot manipulators, with particular emphasis on time-delayed control (TDC), adaptive sliding-mode control, and model-free control strategies. His most influential contribution, "A Widely Adaptive Time-Delayed Control and Its Application to Robot Manipulators" (2018, 89 citations), introduced a groundbreaking framework that removes restrictive constraints on control gains, dramatically expanding the practical utility of TDC. Building on this foundation, Kwon has systematically developed increasingly sophisticated control architectures, including adaptive sliding-mode controllers that compensate for time-delay estimation errors and model-free algorithms capable of handling real-world disturbances such as friction and sudden payload changes, each accumulating dozens of citations. His 2020 works on nonsingular terminal sliding variables and strong-stable adaptive switching gains further demonstrate his commitment to bridging theoretical rigor with engineering practicality. More recently, Kwon has broadened his scope to encompass human-robot collaboration, mobile manipulators operating on uneven terrain, and even embodied AI, reflecting an evolving research vision. With over 280 cumulative citations, his contributions have meaningfully advanced robust, high-precision control for next-generation robotic systems across industrial and collaborative environments.

Research Focus

Key Achievements

8
H-Index
13
Papers
288
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
A Widely Adaptive Time-Delayed Control and Its Application to Robot Manipulators
89 citations · 2018
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Pohang Iron and Steel (South Korea), Electronics and Telecommunications Research Institute, Korea Polar Research Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago