Yinghong Peng
Papers
4
Total Citations
309
H-Index
4
About
Yinghong Peng is a leading researcher in robotic trajectory planning and intelligent design evaluation, whose work has significantly advanced the efficiency and safety of automated systems. His primary research areas include time-optimal motion planning, jerk-continuous trajectory generation, and computational design evaluation. Peng’s most impactful contribution is the development of smooth, S-curve trajectory planning for robots and machines, a method that minimizes execution time while ensuring motion smoothness—critical for both economic performance and operational safety. This seminal work has garnered over 205 citations, reflecting its widespread adoption in industrial robotics. He further extended this research by introducing jerk-continuous trajectory generation for robotic manipulators under kinematical constraints (93 citations), and proposed a trigonometric frequency central pattern generator for cyclic tasks, offering novel solutions for repetitive automation. In design engineering, Peng pioneered the use of rough number and information entropy theory to reduce subjectivity in early-stage product concept evaluation. His work bridges the gap between theoretical optimization and practical robotic applications, making him a key figure in modern automation research.
Research Focus
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