Shuxian Yang
Papers
2
Total Citations
5
H-Index
2
About
Shuxian Yang’s research focuses on the control and dynamical optimization of industrial robots operating in unstructured environments, with a particular emphasis on polishing applications. Their major contribution lies in developing an optimized control framework that enhances the dynamical performance of polishing robots when faced with unpredictable, non-ideal working conditions. By introducing a detailed dynamical model and an S-shaped acceleration-deceleration path planning method, Yang’s work directly addresses the critical challenge of maintaining precision and stability during automated polishing tasks. Although their most-cited paper has accumulated a modest number of citations (3 and 2 for two versions), the work represents a foundational step in bridging robotic control theory with practical manufacturing needs. This research is particularly notable for its focus on real-world, unstructured settings—an area often overlooked in more idealized robotic studies. Yang’s achievements demonstrate a commitment to solving tangible engineering problems, making their work valuable for students and researchers interested in the intersection of robotics, control systems, and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2