Max Robotics — Global Service Robot Directory + US Certification

About

Chang-Hun Lee’s research focuses on mobile robot vision tracking, sensor fusion, and intelligent control systems. His major contributions lie in developing robust tracking algorithms that integrate data from multiple sensors—including accelerometers, gyroscopes, encoders, and vision sensors—to accurately estimate robot position and orientation. His most cited work, “Vision tracking system for mobile robots using two Kalman filters and a slip detector” (11 citations), introduced a novel method for maintaining camera lock on a moving target despite robot slippage. He further advanced this field by applying the Unscented Kalman Filter (7 citations) to improve estimation accuracy in dynamic environments. Lee also explored adaptive fuzzy control for flexible joint manipulators, demonstrating his versatility across robotics domains. His work on line-of-sight control using fuzzy logic and Euler angle orientation (2 citations) and his 3-D target tracking system (2 citations) showcase his sustained effort to solve real-world tracking challenges. Though his citation counts are modest, Lee’s contributions to sensor fusion and vision-based tracking have laid groundwork for more reliable mobile robot navigation and target following systems.