Mingda Zhang
Papers
1
Total Citations
1
H-Index
1
About
Mingda Zhang is a robotics researcher whose work centers on intelligent control systems, trajectory planning, and the practical integration of communication protocols in robotic manipulation. His most cited paper, "Trajectory Planning Control of Robotic Arm Based on MQTT and PID Algorithm" (2024), addresses a fundamental challenge in six-degree-of-freedom robotic arms: achieving precise, real-time motion control. By combining the MQTT lightweight messaging protocol with classical PID algorithms, Zhang proposes a framework that enhances both the responsiveness and accuracy of robotic arms—critical for applications in manufacturing and automation. This work underscores his focus on bridging theoretical control methods with deployable, networked systems. While his citation count is still growing, the paper’s relevance to Industry 4.0 and the Internet of Things signals its potential impact. Zhang’s research contributes to making robotic arms more flexible, programmable, and reliable, advancing the broader goal of autonomous, high-precision manipulation. His work is particularly valuable for students and engineers seeking practical solutions in robotic control and communication.
Research Focus
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Top Papers
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