Yi Qing Luan

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About

Yi Qing Luan is a pioneering researcher in the field of power robotics, with a primary focus on the development and optimization of humanoid substation inspection robots. Their major contributions center on designing intelligent robotic systems capable of autonomously navigating complex outdoor substation environments. Luan’s work introduced non-contact infrared acquisition technology (ReTu) for real-time identification of equipment heat defects, abnormal appearances, and audio anomalies, enabling automated alarm systems that enhance grid safety and reliability. They also addressed critical operational challenges, such as designing an automatic thermostat control system using Thermoelectric Coolers to maintain optimal internal temperatures for robot instruments in varying ambient conditions. Additionally, Luan’s research on crawler obstacle-navigation platforms tackled the constraints posed by complex road surfaces and large substation layouts, advancing robot mobility and application scope. With over 9 cumulative citations across their most-cited papers, Luan’s contributions have directly supported the development of four generations of substation inspection robots at the State Grid Electric Power Robotics Laboratory, marking them as a key innovator in smart grid automation and robotic inspection technology.