Papers

3

Total Citations

12

H-Index

2

About

S. H. Ye is a researcher specializing in intelligent robotics, sensor design, and real-time control systems, with a focus on advancing automation in manufacturing and autonomous vehicles. Ye’s major contributions include pioneering work on visual measurement techniques for robotic welding tracking systems, where sensor design directly influences real-time adjustment accuracy based on workpiece position and shape changes—a foundational approach cited in subsequent robotics studies. Ye also advanced high-speed image processing by applying Virtex-II Pro FPGAs to robot vision sensors, enhancing signal-to-noise ratio and data compression for the IRB2400 robot, with over 5 citations highlighting its impact on embedded vision systems. More recently, Ye developed an MPC-PID-based double-loop trajectory tracking algorithm for intelligent sweeping vehicles, addressing sensor noise, tire slip, and skid errors to improve control precision and adaptability. This work, published in 2025, demonstrates Ye’s ongoing commitment to bridging model predictive control with classical PID methods for real-world autonomous navigation. With cumulative citations across these key papers, Ye’s research continues to influence sensor-driven robotics and intelligent vehicle control, offering practical solutions for industrial and service automation.

Research Focus

Key Achievements

2
H-Index
3
Papers
12
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Study on Sensor Design Technique for Real-Time Robotic Welding Tracking System
5 citations · 2006
📈 Most Prolific Year: 2006 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Tianjin University, Henan University of Science and Technology

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago