Qi Yunlong
Papers
1
Total Citations
7
H-Index
1
About
Qi Yunlong is a robotics researcher whose work focuses on intelligent control systems for specialized service robots, particularly in the domain of duct cleaning and maintenance. His key research areas include adaptive robust control, task-space tracking, and the integration of fuzzy wavelet neural networks for managing uncertainties in robotic manipulators. In his most notable work, "A Task-Space Tracking Control Approach for Duct Cleaning Robot Based on Fuzzy Wavelet Neural Network" (2019), Yunlong proposed a novel adaptive robust control methodology that effectively handles external disturbances and system uncertainties in mobile manipulators. This contribution is significant for improving the precision and reliability of robots operating in constrained, hazardous environments like ventilation ducts. While his citation count is still growing, his work represents an important step toward practical, real-world deployment of autonomous cleaning systems. Yunlong’s research bridges theoretical control engineering with applied robotics, offering solutions that enhance both safety and efficiency in industrial maintenance tasks.
Research Focus
Key Achievements
Top Papers
- 1