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About

Yoichi Nagao is a pioneering researcher in the field of industrial robotics, with a primary focus on developing teaching-free automation systems for complex manufacturing environments. His major contributions center on the integration of CAD data—both two-dimensional and three-dimensional—into robotic welding processes, effectively eliminating the need for manual teaching and programming. This innovation has been particularly impactful in shipbuilding and large-scale construction, where traditional robot guidance is time-consuming and error-prone. Notably, his 2006 work on a teaching-free robot system utilizing 3D CAD product data (8 citations) and his earlier development of a panel welding robot system for shipbuilding subassembly (7 citations) demonstrate his sustained influence. His 2001 research on a teachingless robot for large box-type constructions (6 citations) further underscores his commitment to practical, scalable automation solutions. By leveraging numerical control and off-line teaching, Nagao has enabled robots to autonomously interpret design data, significantly reducing setup time and increasing precision in heavy industries. His work bridges the gap between digital design and physical manufacturing, making him a key figure in the evolution of smart, adaptable robotic systems for industrial applications.