Papers
1
Total Citations
3
H-Index
1
About
Shuping Yang is a researcher specializing in motion control systems and trajectory planning for robotic and mechatronic applications. Their work focuses on developing and validating methods that ensure smooth, continuous motion—specifically achieving continuity in position, velocity, and acceleration—which is critical for precision and reduced mechanical wear in automated systems. Yang’s most cited paper, "Experimental validation of a trajectory planning method with continuous acceleration implemented on a DSP-based motion controller" (2012), bridges the gap between theoretical simulation and practical implementation. By detailing the techniques required to realize a previously proposed trajectory planning method on a digital signal processor (DSP)-based controller, this work provides a validated, real-world solution for high-performance motion control. While the paper has garnered 3 citations, its significance lies in demonstrating how advanced control algorithms can be effectively deployed in hardware, offering a clear pathway for engineers and researchers working on robotics, CNC machines, and industrial automation. Yang’s contributions underscore the importance of experimental validation in advancing reliable, efficient motion systems.
Research Focus
Key Achievements
Top Papers
- 1