Minghui Meng

Chongqing University of Science and Technology

Papers

Total Citations

H-Index

About

Minghui Meng is a leading researcher in intelligent robotic machining, with a primary focus on adaptive force control and precision manufacturing. His most-cited work, "Research on a Method of Robot Grinding Force Tracking and Compensation Based on Deep Genetic Algorithm" (2023, 6 citations), tackles a critical industrial challenge: the mismatch between complex cast workpiece contours and their 3D models. By integrating deep learning with genetic algorithms, Meng developed a novel force-tracking and compensation method that dynamically adjusts grinding trajectories, effectively reducing under-grinding and over-grinding errors. This contribution enhances robotic autonomy in high-precision tasks, offering significant improvements for automated surface finishing in manufacturing. While his citation count is still growing, Meng’s work stands out for its practical impact on real-world production efficiency and quality. His research bridges the gap between theoretical optimization and industrial application, making him a promising figure in the field of robotic machining and intelligent control systems.