Wei-Hao Lu

Chung Yuan Christian University, National Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Wei-Hao Lu is a researcher at the intersection of robotics, computer vision, and infrastructure monitoring. His work focuses on enhancing the precision and autonomy of robotic systems for real-world applications, particularly in industrial and civil engineering contexts. A key contribution is his development of a method for infrastructure inspection using an unmanned aerial system (UAS) with metamodeling-based image correction, which addresses the challenge of accurately assessing aging steel truss bridges—a critical need for safe operation of older structures. In robotics, Lu has advanced object recognition and manipulation by integrating computer vision with automatic pneumatic soft gripping, leveraging the adaptability of soft robotics for delicate tasks. He has also explored the role of end effector absolute accuracy in Industry 4.0, emphasizing that robotic precision must exceed mechanical tolerances to ensure adaptability in dynamic factory environments. Though his citation counts are modest, his work targets practical, high-impact problems in structural health monitoring and industrial automation, demonstrating a commitment to bridging theoretical advances with deployable solutions.