Papers
1
Total Citations
7
H-Index
1
About
Muquan Lin is a researcher specializing in robotics and intelligent control systems, with a particular focus on motion control and automation technologies. His most cited work, "Application of Fuzzy PID Position Control Algorithm in Motion Control System Design of Palletizing Robot" (2022), addresses critical challenges in industrial robotics—specifically, the low efficiency and poor control precision of traditional palletizing robots. By integrating fuzzy logic with PID control algorithms and implementing the system on an FPGA hardware platform, Lin proposed a novel approach that enhances real-time adaptability and accuracy in robotic motion. This contribution has garnered 7 citations, reflecting its relevance to ongoing advancements in automated manufacturing and robotics. Lin’s research bridges theoretical control methods with practical hardware design, offering tangible improvements for industrial applications. His work is particularly valuable for students and engineers exploring intelligent control, embedded systems, and the optimization of robotic manipulators in production environments.
Research Focus
Key Achievements
Top Papers
- 1