Max Robotics — Global Service Robot Directory + US Certification

About

Doyun Lee is pioneering the future of automated construction through intelligent robotic welding systems. His research centers on computer vision, deep learning, and human-robot interaction to address the critical welder shortage—projected to reach 360,000 in the U.S. by 2027. Lee’s major contributions include developing a vision-based construction robot for real-time automated welding with human-robot interaction (2024, 24 citations), and creating automatic, real-time joint tracking and 3D scanning systems for welding robots (2023, 14 citations). He has also advanced deep learning methods for detecting welding joints (2022, 8 citations) and autonomous navigation with collision avoidance (2024, 7 citations). His work integrates unmanned ground vehicles with robotic arms for fully automated welding (2024, 4 citations), and he continues to refine mobile robotic welding systems capable of autonomous navigation and positioning (2025, 3 citations). By combining real-time sensing, AI-driven detection, and adaptive control, Lee’s innovations promise to alleviate labor shortages, improve weld quality, and remove workers from hazardous environments—making construction safer, more efficient, and more sustainable.