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About

Dekai Chen is a robotics researcher specializing in intelligent inspection and maintenance systems for high-voltage power infrastructure. His work focuses on three key areas: high-voltage live working robots, substation inspection robots, and multi-sensor fusion for robotic localization. Chen’s major contributions include developing a high-voltage live working robot system for 10 kV distribution networks, which integrates robotic and operator platform subsystems to safely perform live-line tasks. He also designed an active disturbance rejection control method for indoor inspection robots using monocular vision, enhancing autonomous navigation in intelligent substations. His research on binocular vision localization with multi-sensor fusion addresses the limitations of feature-based SLAM in degraded environments. With over 20 citations across his most-cited papers, Chen’s work has practical impact on improving power system reliability and reducing manual inspection risks. Notably, he proposed a novel substation inspection robot that carries an unmanned aerial vehicle (UAV), combining ground and aerial capabilities to overcome complex indoor environments and low inspection efficiency. His innovations in ultra-high voltage insulator cleaning and detecting robots further support the growing demands of UHV transmission networks.