Jinrong Zou
Papers
1
Total Citations
4
H-Index
1
About
Dr. Jinrong Zou is a robotics researcher whose work focuses on trajectory planning and control systems for autonomous inspection platforms. Their key research area involves developing advanced interpolation algorithms to improve the stability and precision of rail inspection robots during dynamic target tracking. Dr. Zou’s most notable contribution is the "Improved Hybrid Polynomial Interpolation Algorithm," which addresses critical challenges in reducing angular velocity and angular acceleration amplitudes—essential for maintaining track stability and ensuring smooth, reliable robot motion. This work, published in 2021 and cited 4 times, provides a foundational solution for trajectory planning in automated rail inspection, directly impacting the safety and efficiency of infrastructure monitoring. By tackling the inherent trade-offs between motion smoothness and tracking accuracy, Dr. Zou’s research offers practical insights for robotics engineers and students interested in control theory, autonomous navigation, and industrial inspection systems. Their work exemplifies how algorithmic innovation can enhance the performance of real-world robotic applications, making it a valuable reference for those developing next-generation inspection technologies.
Research Focus
Key Achievements
Top Papers
- 1