Xinyue Niu

Henan University of Science and Technology

Papers

Total Citations

H-Index

About

Xinyue Niu is a robotics researcher whose work focuses on advancing intelligent automation in industrial manufacturing, particularly through vision-guided robotic systems. Her most-cited paper, "An Autonomous Robotic Alignment Strategy Based on Visual Guidance" (2019, 4 citations), addresses a critical bottleneck in solid rocket motor production lines: the reliance on manual alignment, which limits efficiency and precision. Niu’s key contribution lies in developing a monocular vision-based control strategy that enables robots to autonomously perform accurate position measurement and alignment tasks. By mapping visual data to robotic actions, she reduces human error and enhances production line intelligence. Though her citation count is modest, her work holds significant practical value for aerospace and defense manufacturing, where precision is paramount. Niu’s research bridges computer vision and robotics, offering a scalable solution for automating complex assembly processes. Her achievements highlight a commitment to transforming traditional industries through smart automation, making her a promising voice in applied robotics and industrial engineering.