Yeong Ryu

Columbia University, City University of New York

Papers

Total Citations

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About

Yeong Ryu is a researcher whose work bridges the critical gap between theoretical control systems and practical robotic implementation. His primary research areas include advanced control theory, specifically anti-reset windup mechanisms, and the trajectory planning of autonomous mobile robots. Ryu’s most notable contribution is his foundational work on "Use of anti-reset windup in integral control based learning and repetitive control" (2002, 17 citations), where he addressed the pervasive problem of integrator windup during actuator saturation—a key issue for real-world control systems. This work provides essential tools for improving the transient response and stability of learning controllers. In parallel, his research on "Shortest trajectory planning of wheeled mobile robots with constraints" (2005, 13 citations) tackles the practical challenge of generating optimal, curvature-bounded paths for vehicles like car-like robots and aerial drones. By focusing on forward-only motion constraints, Ryu’s algorithm directly supports efficient navigation in constrained environments. His contributions are particularly valued for their direct applicability in robotics and automation, making his work a reference point for engineers developing robust, real-world control and path-planning systems.