Dong-Hee Lee

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About

Dong-Hee Lee is a researcher specializing in advanced motion control systems for autonomous mobile robotics, with a particular focus on self-driving surveillance platforms driven by brushless DC (BLDC) motors. His work addresses critical challenges in precision navigation and trajectory tracking for indoor robots operating without absolute positioning sensors like GPS. Lee’s most cited paper (2020, 5 citations) introduces a comprehensive design and control scheme for a self-driving surveillance robot powered by two in-wheel BLDC motors, emphasizing enhanced speed regulation and directional control. Building on this foundation, his 2024 paper (2 citations) presents a novel real-time circular path-tracking error compensation strategy, enabling accurate positioning and motion control in GPS-denied environments. Though early in his citation impact, Lee’s contributions are significant for advancing sensorless autonomous navigation—a key enabler for cost-effective, reliable indoor robotics. His work bridges motor control theory with practical robotic applications, offering valuable insights for engineers developing self-driving platforms in surveillance, logistics, and service robotics. Lee’s research continues to push the boundaries of precision motion control without external localization infrastructure.