Qingkai Lang

Papers

Total Citations

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About

Qingkai Lang is a researcher focused on the intersection of high-voltage engineering and intelligent robotics, with a particular emphasis on power transmission line maintenance. His work addresses critical challenges in live-line inspection, specifically targeting the detection and maintenance of insulator strings—components essential for the insulation and support of power lines. Lang’s major contribution lies in the design of an intelligent robot for insulator inspection, utilizing the electric field method to solve key technical problems in overhead transmission line reliability. This approach enhances the safety and efficiency of live-line work, reducing human risk in hazardous environments. While his most-cited paper, "Study of Intelligent Robot for Insulators Based on Electric Field Method" (2017), has garnered 2 citations, its significance lies in laying foundational concepts for robotic applications in power systems. Lang’s work represents a practical step toward automating critical infrastructure maintenance, offering a pathway to more resilient electrical grids. His research is particularly valuable for students and engineers exploring robotics in high-voltage applications.