Guan Xinping
Papers
1
Total Citations
15
H-Index
1
About
Guan Xinping is a leading researcher in industrial robotics and motion control, best known for pioneering work in smooth trajectory generation for high-precision machinery. His most-cited paper, "Smooth trajectory generation for industrial machines and robots based on high-order S-curve profiles" (2024), has already garnered 15 citations, reflecting its immediate impact on the field. This work introduces advanced S-curve profiles that minimize jerk and vibration, enabling faster, more accurate movements in automated systems—a critical advancement for manufacturing and robotics. Guan’s research bridges theoretical kinematics and practical implementation, offering solutions that enhance both efficiency and safety in industrial environments. His contributions are widely recognized for improving the performance of CNC machines, robotic arms, and autonomous guided vehicles. By addressing the limitations of traditional trajectory planning, Guan has set new standards for motion control, making him a key figure in modern automation. His work continues to influence engineers and researchers seeking to optimize robotic systems for complex tasks.
Research Focus
Key Achievements
Top Papers
- 1