Wenyi Wang

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About

Dr. Wenyi Wang is a pioneer at the intersection of robotics, sensor networks, and non-destructive evaluation, with a primary focus on **structural health monitoring (SHM)**. His work revolutionizes how we detect damage in critical infrastructure by introducing mobile autonomy to a traditionally static field. Wang’s major contribution is the development of the **Bayesian Computational Sensor Network** methodology, which allows a mobile robot equipped with vision and ultrasound sensors to simultaneously localize itself and map structural damage—such as holes and cracks—in small-scale structures. This probabilistic framework, detailed in his 2015 paper (10 citations), effectively turns a robot into a dynamic, intelligent inspector. In his earlier foundational work, "SLAMBOT" (2014, 2 citations), Wang demonstrated the novel integration of a mobile robot with piezoelectric sensor-actuators to send and receive Lamb waves across a structure’s surface. By merging robotic exploration with active sensing, his research has laid the groundwork for autonomous, scalable SHM systems that promise to reduce human risk and improve the longevity of bridges, aircraft, and pipelines.