Myeongjin Choi

Papers

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About

Myeongjin Choi is a robotics researcher whose work centers on the design, modeling, and control of specialized robots for façade cleaning and vertical environments. His primary contributions lie in developing advanced sensor fusion and position estimation techniques for rope-driven robotic systems, particularly the Dual Ascender Robot (DAR). Unlike conventional façade cleaners that rely on winches, Choi’s DAR employs an ascender mechanism, introducing unique challenges in rope slip and position accuracy. His most cited work, “UKF-Based Sensor Fusion Method for Position Estimation of a 2-DOF Rope Driven Robot” (2021, 19 citations), presents an unscented Kalman filter approach that significantly improves the robot’s positional awareness. He further addresses practical limitations in “Position Error Compensation of Façade-Cleaning Robot by Optimal Rope Winch Design” (2021, 2 citations), optimizing mechanical design to mitigate locomotion-induced errors. More recently, his 2023 study on modeling and control of a thruster-driven adhesion system expands the capabilities of façade robots. Through these contributions, Choi is advancing the reliability and precision of vertical robotic systems, with direct applications in building maintenance and automation.