Max Robotics — Global Service Robot Directory + US Certification

About

Yuguang Fu is pioneering the next generation of structural health monitoring (SHM) by integrating robotics, automation, and advanced measurement technologies. His research centers on developing intelligent, mobile sensing systems that overcome the limitations of traditional fixed-sensor networks for large-scale civil infrastructure. Fu’s most impactful work, the 2023 “Roadmap on measurement technologies for next generation structural health monitoring systems” (73 citations), provides a comprehensive vision for the field, outlining critical challenges and future directions in sensor design and data interpretation. Building on this foundation, his 2024 study on “A Robotic Automated Solution for Operational Modal Analysis of Bridges” (11 citations) introduces a groundbreaking method using programmable wheeled robots as mobile platforms. This approach enables the automated identification of bridge frequencies and the recovery of high-spatial-resolution mode shapes with minimal sensors, dramatically reducing cost and installation complexity. By merging robotics with modal analysis, Fu is making SHM more scalable, flexible, and practical for real-world infrastructure. His work is particularly notable for its potential to transform how we monitor aging bridges and other critical assets, offering a pathway toward safer, more resilient civil systems through intelligent automation.