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About

Doo Yong Lee is a robotics and automation researcher whose work spans surgical robotics, haptic teleoperation, manufacturing scheduling, and robotic assembly — a remarkably broad portfolio that reflects deep expertise in both intelligent control systems and industrial automation. Lee's most impactful contributions lie in surgical teleoperation, where he has tackled some of the field's most persistent challenges. His gain-scheduling control framework for teleoperation systems interacting with soft tissues (37 citations) elegantly addresses the nonlinear dynamics of robot-tissue interaction, while his complementary work on environmental force estimation for haptic surgical interfaces (31 citations) advances the critical goal of delivering accurate force feedback without relying on instrument-tip sensors — a longstanding engineering obstacle. His 2014 study further refined this by designing slave arm architectures capable of inferring contact forces indirectly, demonstrating consistent innovation in this domain. Earlier in his career, Lee made notable contributions to manufacturing intelligence, developing Petri net-based scheduling methods for flexible manufacturing systems and simulated annealing approaches for semiconductor cluster tool scheduling — work that earned over 40 cumulative citations. His research on bimanual robotic assembly and dynamic parameter identification further underscores his range, establishing him as a versatile contributor to both medical robotics and intelligent manufacturing automation.