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About

T. Maruyama is a leading figure in the development of remote handling systems for nuclear fusion, with a primary focus on the ITER project. Their research centers on the design and control of gigantic, high-precision manipulators capable of handling multi-ton components in hazardous environments. Maruyama’s major contributions include advancing the structural compensation of these massive robotic arms, where they pioneered a novel method that fuses deep learning with physics-based virtual models to correct for static displacements of up to 100 mm at the end effector—a critical challenge for handling 4-ton objects. This work, detailed in their 2020 paper, represents a significant leap in robotic accuracy for extreme loads. Their impact is underscored by their most-cited work, the 2018 overview of ITER remote maintenance design (26 citations), which serves as a key reference for the field. Maruyama has also developed specialized vision systems and rescue tools for the ITER blanket remote handling system, showcasing a comprehensive approach to solving the unique operational challenges of fusion maintenance.