Yung-Shuen Su

Minghsin University of Science and Technology

Papers

Total Citations

H-Index

About

Yung-Shuen Su is a pioneering researcher in the intersection of robotics and civil infrastructure, with a primary focus on automated pavement condition assessment. His most cited work, "Measurement of the International Roughness Index (IRI) Using an Autonomous Robot (P3-AT)" (2009, 27 citations), represents a groundbreaking contribution to transportation engineering. In this study, Su demonstrated that a modified Pioneer P3-AT robot—equipped with odometers, a laptop, a CCD laser, and a SICK sensor—could reliably measure the International Roughness Index, a critical metric for evaluating road ride quality and longitudinal profile. This innovative approach offered a safer, more efficient alternative to traditional manual or vehicle-based surveys, laying the foundation for autonomous infrastructure monitoring. Su's work bridges robotics and civil engineering, showcasing how mobile robots can transform routine yet hazardous tasks like pavement inspection. His research has significant implications for smart city development and automated maintenance systems, inspiring subsequent studies in robotic sensing for civil applications. With 27 citations, this paper remains a key reference for researchers exploring low-cost, autonomous solutions for infrastructure health monitoring.