Mingshuo Li

Kunming University of Science and Technology

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About

Mingshuo Li is a leading researcher in autonomous robotics, with a primary focus on intelligent navigation systems for high-risk industrial environments. Their most influential work centers on the development of SLAM (Simultaneous Localization and Mapping) and path planning algorithms, specifically applied to indoor substation wheeled robots. Li’s major contribution addresses a critical safety challenge: replacing human personnel in dangerous substation environments, where high-voltage equipment and confined spaces pose significant risks. By designing robust autonomous navigation and positioning systems, Li has enabled mobile robots to perform inspection tasks reliably, advancing the Chinese State Grid Corporation’s substation intelligentization initiative. Their seminal 2022 paper on this topic has garnered 25 citations, reflecting its practical impact on industrial robotics and safety engineering. Li’s work bridges the gap between theoretical path planning algorithms and real-world deployment, demonstrating how SLAM-based systems can operate effectively in cluttered, GPS-denied indoor substations. This research not only enhances operational efficiency but also sets a precedent for robot-assisted inspection in other hazardous industrial settings, marking Li as a key innovator in the field of intelligent robotics for critical infrastructure.