Yonghua Yan
Papers
2
Total Citations
8
H-Index
2
About
Dr. Yonghua Yan is a robotics researcher whose work focuses on industrial automation, particularly in robot calibration, dynamic simulation, and control systems. His most cited paper, "A Scene Feature Based Eye-in-Hand Calibration Method for Industrial Robot" (2020, 6 citations), addresses a critical challenge in manufacturing: precisely aligning a robot’s visual system with its manipulator. This method improves accuracy in tasks like assembly and inspection, directly impacting production efficiency. Earlier, Dr. Yan’s "Study of dynamic simulation and control algorithm of palletizing robot" (2010, 2 citations) demonstrated his foundational expertise in modeling complex robotic systems. By integrating UG, ADAMS, and SIMULINK, he built a 3D solid model to analyze dynamics and implemented a parallel controller combining CMAC and PID algorithms—an innovative approach to enhance stability and precision in high-speed palletizing operations. Though his citation counts are modest, Dr. Yan’s contributions are practical and industry-relevant, offering solutions for real-world robotic challenges. His work bridges simulation and application, making him a valuable resource for students and engineers exploring industrial robot optimization.
Research Focus
Key Achievements
Top Papers
- 1
- 2Study of dynamic simulation and control algorithm of palletizing robot2 citations · 2010