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About

Bailing Liu is a leading researcher in industrial robotics, specializing in robot calibration, pose accuracy, and real-time path compensation. Her work addresses critical limitations of industrial robots—low absolute accuracy and stiffness—that hinder their use in high-precision applications. Liu’s major contributions include developing a multi-sensor combined measurement system (MCMS) that integrates visual and angle sensors to improve manipulator pose accuracy in real time, a method that has garnered 50 citations. She also pioneered an online real-time path compensation system using laser trackers (48 citations), enabling robots to achieve higher precision during operation. Additionally, Liu introduced a rapid coordinate transformation method based on characteristic line coincidence (28 citations), offering a faster alternative to traditional point-cloud approaches for robot calibration. Her research has direct implications for advanced manufacturing, aerospace, and automation, where precision is paramount. With over 126 citations across her most-cited works, Liu’s innovative sensor fusion and calibration techniques have established her as a key figure in enhancing industrial robot performance for high-stakes applications.