Dongbin Lee

Clemson University, Villanova University, Oregon Institute of Technology

Papers

Total Citations

107

H-Index

About

Dongbin Lee is a robotics and control systems researcher whose work spans autonomous aerial vehicles and intelligent manufacturing systems. He is best known for his foundational contributions to the control of underactuated quadrotor aerial robots, a technically demanding problem owing to the inherently coupled and cascaded dynamics of such vehicles. His 2009 paper on robust tracking control introduced a parametric uncertain model framework to achieve precise position and yaw trajectory tracking, garnering 52 citations and establishing him as an early contributor to quadrotor control theory. Building on this foundation, his 2011 work on adaptive tracking control extended these methods using an integrator backstepping approach to handle dynamic uncertainty more effectively, earning 49 citations and further cementing his reputation in adaptive control design. Beyond aerial robotics, Lee has also contributed to smart manufacturing, developing an integrated robotic system combining 2D vision inspection with automated PLC conveyor systems to enhance industrial quality control and productivity. Across his career, Lee's research reflects a consistent drive to solve real-world engineering challenges through mathematically rigorous control strategies, making his work valuable reading for students and practitioners in robotics, autonomous systems, and industrial automation.