Papers

1

Total Citations

2

H-Index

1

About

Jian Quo is a researcher in robotics and control systems, with a focus on precision motion control and automation. His work addresses critical challenges in multi-axis robotic systems, particularly improving the accuracy of end-effector positioning in Cartesian robots. In his notable 2017 paper, "Design of Fuzzy Cross Coupling Controller for Cartesian Robot," Quo tackled the complex issues of mechanical inertia, load disturbances, and contour error modeling that degrade pose accuracy in DC motor-driven systems. He proposed a fuzzy cross coupling controller that effectively compensates for these factors, enhancing trajectory tracking and reducing contour errors. While his most-cited work has garnered 2 citations, it represents a foundational contribution to intelligent control strategies for industrial robotics. Quo’s research bridges theoretical control design with practical automation applications, offering insights valuable to students and engineers working on robotic precision, mechatronics, and adaptive control systems. His work continues to influence the development of more robust and accurate robotic manipulators in manufacturing and automation settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Design of Fuzzy Cross Coupling Controller for Cartesian Robot
2 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Nanjing University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago