Yanyun Pu

Papers

Total Citations

H-Index

About

Yanyun Pu is a researcher at the forefront of optical fiber sensing and robotic inspection technologies, with a primary focus on advancing the localization and tracking of in-pipe inspection robots. Their most-cited work, "Localizing and tracking of in-pipe inspection robots based on distributed optical fiber sensing" (2024), has garnered 18 citations, marking a significant contribution to the field by integrating distributed optical fiber sensing (DOFS) with robotic systems. This innovative approach enables precise, real-time monitoring of robots navigating complex pipeline networks, addressing critical challenges in infrastructure maintenance, such as leak detection, structural integrity assessment, and autonomous navigation. Pu’s research bridges the gap between sensing technology and robotics, offering scalable solutions for industrial applications like oil, gas, and water pipeline management. By leveraging DOFS’s high sensitivity and long-range capabilities, their work enhances the accuracy and efficiency of in-pipe inspections, reducing downtime and operational risks. This achievement not only underscores Pu’s expertise in sensor integration and robotic control but also positions them as a key contributor to the evolution of smart infrastructure systems. Their findings hold promise for future innovations in autonomous inspection and real-time monitoring, making them a notable figure in applied optical engineering and robotics.