A research group led by Prof. Nagato at the University of Tokyo, in collaboration with other institutions, developed a pilot line simulating fuel cell manufacturing processes. Through the 'ROPES for Coating and Drying' system, they achieved a 100-fold increase in efficiency compared to traditional methods. The system utilizes AI robots for automated experimentation and exploration, enabling rapid design and operation of production lines. The study focused on high-quality coating technology in catalyst layer production for fuel cells. By addressing challenges outlined in the FCV and HDV Fuel Cell Technology Development Roadmap, the group demonstrated the capabilities of autonomous experimentation and exploration systems in the 'FC-ROPES.' The system, designed for the coating and drying process, showcased the potential for accelerating research and development in the field. The developed system not only streamlines the production process but also sets the stage for further advancements in production technology. By leveraging the results of this research, the group aims to enhance capabilities for Japanese fuel cell system manufacturers, material manufacturers, and production equipment manufacturers. The project aligns with the NEDO Roadmap's goal of enhancing research and development capabilities through technology development. The future project will extend research into automated experiments and exploration for ink formulation processes, contributing to the efficient design, operation, and management of production lines. This initiative, part of the upcoming NEDO project, aims to strengthen the common foundations for expanding hydrogen utilization by 2035. Overall, the development of the 'ROPES for Coating and Drying' system signifies a significant step towards revolutionizing fuel cell production technology.