Yaming Zuo
Papers
1
Total Citations
23
H-Index
1
About
Dr. Yaming Zuo is a leading researcher in robotics and mechanism design, with a primary focus on trajectory planning and optimization for precision pointing systems. His most-cited work, "Trajectory Planning in Joint Space for a Pointing Mechanism Based on a Novel Hybrid Interpolation Algorithm and NSGA-II Algorithm" (2020, 23 citations), addresses a critical challenge in motion stability: ensuring continuous jerk to minimize mechanical vibration and wear. Dr. Zuo’s major contribution lies in developing a hybrid interpolation algorithm that combines the smoothness of higher-order polynomials with the computational efficiency of B-splines, integrated with the multi-objective optimization power of the NSGA-II algorithm. This approach significantly reduces calculation complexity while maintaining superior motion stability, a breakthrough for applications in satellite antennas, telescopes, and other high-precision pointing mechanisms. His work has been recognized for bridging theoretical optimization with practical engineering constraints, offering a scalable solution for real-time trajectory generation. By tackling the trade-off between jerk continuity and computational load, Dr. Zuo has advanced the reliability and lifespan of robotic systems in aerospace and industrial automation, establishing himself as a key innovator in motion control and mechanism optimization.
Research Focus
Key Achievements
Top Papers
- 1