Chien-Ta Chang

Papers

Total Citations

H-Index

About

Dr. Chien-Ta Chang is a pioneering researcher at the intersection of artificial intelligence, robotics, and advanced construction materials. His work focuses on developing intelligent autonomous systems for infrastructure inspection and maintenance, with a particular emphasis on integrating tiny machine learning (TinyML) and computer vision into robotic platforms. Dr. Chang's major contributions include the creation of an AI-powered shotcrete robot that employs ultra-high performance concrete and visual recognition to enhance structural integrity—a breakthrough that has garnered 31 citations since its 2023 publication. More recently, his 2024 study on climbing inspection robots equipped with TinyML for real-time multi-object bolt-defect detection has already attracted 21 citations, demonstrating the rapid impact of his innovations. By enabling lightweight, energy-efficient edge computing on mobile robots, Dr. Chang is advancing the practical deployment of AI in hazardous or hard-to-reach environments. His work not only pushes the boundaries of robotic autonomy but also offers scalable solutions for aging infrastructure, making him a notable figure in the emerging field of intelligent construction and inspection robotics.