Max Robotics — Global Service Robot Directory + US Certification

About

Duho Chung is a pioneering researcher at the intersection of construction automation, robotics, and deep learning. His work centers on revolutionizing scaffold safety and monitoring through the innovative use of quadruped robots—specifically, robot dogs—for automated 3D reconstruction and point cloud data acquisition. Chung’s most influential contribution, "Deep learning-based 3D reconstruction of scaffolds using a robot dog" (2021), has garnered 91 citations, establishing a new paradigm for non-intrusive, real-time structural assessment on construction sites. He further advanced this field with "Automated system of scaffold point cloud data acquisition using a robot dog" (2024, 18 citations) and "Semantic segmentation of 3D point cloud data acquired from robot dog for scaffold monitoring" (2021, 2 citations), which integrate semantic understanding into robotic inspection. His work has been featured in the prestigious International Symposium on Automation and Robotics in Construction (ISARC), including a 2022 proceedings paper with 32 citations. By combining robotics, computer vision, and construction engineering, Chung is driving a safer, more efficient future for the built environment—one where autonomous dogs patrol job sites to prevent accidents before they happen.