Pei‐Ying Chang

National Taipei University of Technology

Papers

Total Citations

H-Index

About

Pei-Ying Chang is a pioneering researcher in intelligent robotic systems and smart infrastructure monitoring, with a particular focus on advancing pipe inspection technologies. Her most notable contribution is the development of a groundbreaking 3D pipe robot that integrates additive manufacturing, autonomous navigation, and real-time wireless communication. This innovative robot, detailed in her highly cited 2017 paper, is capable of conducting fully autonomous pipe inspections, transmitting measured data wirelessly to monitoring stations, generating 3D pipe routing maps in real time, and detecting structural anomalies. Remarkably, by leveraging 3D printing technology, Chang created a robot that is both lightweight and cost-effective, addressing critical limitations of traditional inspection methods. Her work has garnered significant attention, with her flagship paper accumulating 6 citations, and has positioned her at the forefront of smart sensing and inspection robotics. Chang's research not only enhances the efficiency and safety of infrastructure maintenance but also demonstrates the transformative potential of combining robotics with additive manufacturing for practical engineering solutions. Her contributions are particularly valuable for students and researchers interested in the intersection of robotics, smart sensing, and sustainable infrastructure technologies.