Zhengming Li

Papers

Total Citations

H-Index

About

Zhengming Li is a dedicated researcher in robotics and control systems education, with a focus on bridging theoretical concepts and practical application. His work centers on intelligent robot vision, control system pedagogy, and the integration of accessible hardware platforms for hands-on learning. Li’s most cited paper, “Control System Teaching and Experiment Using LEGO MINDSTORMS NXT Robot” (2016, 11 citations), addresses the challenge of teaching abstract control theory by connecting LEGO Mindstorms NXT with MATLAB/Simulink, enabling students to build and program mobile robots that bring mathematical formulations to life. This innovative approach has made control education more engaging and intuitive. In earlier work, “Research on the Method of Intelligent Robot Visual Recognition and Positioning” (2008, 4 citations), Li explored target recognition and positioning using a parallel-robot vision platform, contributing foundational image processing techniques for intelligent robotics. While his citation counts reflect a focused, pedagogical niche, Li’s impact is evident in his commitment to making complex engineering concepts accessible through experiential learning. His efforts represent a valuable bridge between academic theory and real-world robotics education.