Papers
175
Total Citations
3,260
H-Index
28
About
Wan Kyun Chung is a prominent robotics researcher whose work spans robot dynamics and control, human-robot interaction, and autonomous systems. Best known for his pioneering contributions to disturbance observer (DOB)-based control frameworks, Chung has fundamentally shaped how engineers approach force estimation and robust control in robot manipulators. His 2002 paper on sensorless force control using disturbance observers (160 citations) remains a landmark contribution, enabling precise force regulation without dedicated hardware. This line of research extends into flexible-joint robots and PD control schemes, with his 2015 DOB-based work earning 133 citations for achieving asymptotic convergence under uncertainty. Chung's research portfolio reflects both theoretical depth and practical breadth. His 2019 deep learning approach to collision detection for collaborative robots (180 citations) demonstrates his ability to integrate modern AI methods into safety-critical systems, directly addressing the challenges of human-robot coexistence in industrial environments. Additional contributions span tendon-driven robotic hands, modular manipulator design, singularity avoidance, dual-stage precision manipulation, mobile robot localization, and nonlinear H∞ optimal control. Collectively accumulating nearly 1,000 citations across his most recognized works, Chung's research has proven consistently influential across multiple generations of robotics development.
Research Focus
Key Achievements
Top Papers
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- 5Stiffness control of a coupled tendon-driven robot hand90 citations · 1994
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- 10Accurate relative localization using odometry58 citations · 2004