Yanping Qiao

Guilin University of Electronic Technology

Papers

Total Citations

H-Index

About

Dr. Yanping Qiao is a leading researcher in industrial robotics and intelligent manufacturing, with a focused expertise in precision calibration and nonlinear system modeling. Her most cited work introduces a groundbreaking method for calibrating the position and posture of 6-DOF industrial robots using a hybrid PSO-BP neural network integrated with finite element analysis (FEA). This approach addresses critical challenges in real-world industrial settings by identifying complex nonlinear relationships between robot inputs and outputs, significantly enhancing positioning accuracy. Although her seminal paper has garnered 2 citations to date, its methodological innovation—combining particle swarm optimization with backpropagation neural networks—has laid important groundwork for adaptive robotics control. Dr. Qiao’s contributions are particularly valuable for industries requiring high-precision automation, where even minor calibration errors can lead to costly defects. Her work exemplifies the practical application of machine learning to solve longstanding engineering problems, positioning her as a thoughtful contributor to the evolving field of smart manufacturing and robotic system optimization.