Minglu Ai

Changchun University of Science and Technology

Papers

Total Citations

H-Index

About

Minglu Ai is a researcher focused on industrial robotics and automation, with key contributions in robot data acquisition and physical modeling. Their work addresses critical challenges in bridging the gap between theoretical robotics research and practical industrial applications. Ai’s most cited paper, “ABB robot data collection based on dynamic link library” (2021, 5 citations), introduces a method for efficiently gathering operational data from ABB robots using dynamic link libraries, enabling researchers to access real-time robot performance metrics without costly hardware modifications. This work is foundational for improving robot efficiency in factory settings. Another notable contribution, “Robot physical modeling based on matlab/simulink” (2021, 3 citations), tackles the difficulty of studying real robots by providing a simulation framework that allows researchers to model robot dynamics and collect synthetic data, reducing reliance on physical prototypes. While Ai’s citation counts are modest, these papers represent early-stage but impactful efforts to democratize robotics research, making data collection and modeling more accessible. Ai’s work is particularly valuable for students and engineers entering the field, offering practical tools to explore robot behavior and optimization in industrial environments.