Peng-Yung Woo

Northern Illinois University, Tongji University

Papers

Total Citations

213

H-Index

About

Peng-Yung Woo is a robotics researcher whose work spans intelligent control systems, robotic vision, and autonomous mobile systems. His most influential contribution, "Calibration-free robotic eye-hand coordination based on an auto disturbance-rejection controller" (2004, 116 citations), introduced a groundbreaking nonlinear mapping approach to visual servoing that eliminated the need for conventional image Jacobian matrix calibration — a persistent challenge in robotic manipulation. This work demonstrated both theoretical innovation and practical significance, establishing Woo as a notable voice in the visual control of robotic systems. Complementing this, his research on time-optimal path planning for wheeled mobile robots (2000, 55 citations) tackled the complex interplay of kinematic and dynamic constraints using Newton-Euler modeling, providing foundational tools for autonomous mobile robotics. His exploration of fuzzy logic control for robot manipulators further illustrates his interest in intelligent, model-free control strategies for complex mechanical systems. Woo's engagement with real-world applications is evident in his vision-based object recognition work for RoboCup competitions, bridging theoretical robotics with competitive, applied scenarios. Across his career, his research reflects a consistent commitment to making robotic systems smarter, more adaptive, and less dependent on precise prior calibration.