Peixin Wu

Fuzhou University, Ocean University of China

Papers

Total Citations

H-Index

About

Peixin Wu is a robotics researcher specializing in the control and dynamics of high-speed robotic manipulators, with a particular focus on nonholonomic mobile robots and Delta parallel robots. Their most influential work introduces a novel sliding mode control approach for nonholonomic mobile robots, employing a non-negative piecewise predefined-time control law to achieve robust trajectory tracking—a contribution that has garnered 12 citations and advances the field of time-critical robotic control. Wu has also made significant contributions to the analysis of Delta robots, conducting comparative studies on pick-and-place trajectories and vibration dynamics. Their 2016 study on trajectory optimization for the Adept Cycle, a standardized industrial benchmark, and their 2015 work on dynamics and vibration analysis using smoothing curves (Lam and cam curves) have each earned 5–7 citations, demonstrating practical relevance to high-speed automation. By integrating control theory with mechanical dynamics, Wu’s research addresses key challenges in precision and efficiency for industrial robotics, offering insights that benefit both academic researchers and engineers designing faster, more reliable robotic systems.