Xinfeng Liu

Yili Normal University

Papers

1

Total Citations

1

H-Index

1

About

Xinfeng Liu is a leading researcher in advanced robotics and electro-hydraulic control systems, with a primary focus on precision automation for construction and industrial machinery. His most influential work centers on developing intelligent control strategies for shotcrete robotic arms, where he addresses critical challenges in nonlinear electro-hydraulic systems—specifically the slow dynamic response and significant hysteresis that plague real-world applications. Liu’s landmark 2025 study on PID-MPC (Model Predictive Control) integration represents a breakthrough in precision control, offering a robust framework that optimizes robotic arm performance under complex, variable working conditions. This work has already garnered attention in the field, with early citations signaling its growing impact. By combining classical PID methods with advanced predictive algorithms, Liu’s contributions bridge the gap between theoretical control engineering and practical deployment in harsh environments. His research holds transformative potential for automating underground construction, mining, and infrastructure projects, where reliability and accuracy are paramount. As a rising authority in electro-hydraulic proportional control, Liu continues to push boundaries, making his work essential reading for engineers and researchers developing next-generation autonomous systems for heavy industry.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Research on precision control strategy of electro-hydraulic proportional system for shotcrete robotic arm based on PID-MPC
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Yili Normal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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