Shota Ogawa

National Institutes for Quantum Science and Technology

Papers

Total Citations

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About

Shota Ogawa is a leading researcher in the development of advanced robotic systems for extreme environments, with a primary focus on remote handling for nuclear fusion facilities. His most impactful work centers on the ITER blanket remote handling system, a gigantic manipulator designed to handle 4-ton components. Ogawa’s major contribution is a novel, hybrid approach that integrates deep learning with physics-based virtual models to compensate for the massive structural displacements—up to 100 mm at the end effector—inherent in such heavy-load systems. This method, detailed in his 2020 paper, represents a significant leap in precision control for industrial-scale robotics. His foundational 2019 paper on rescue tools for the ITER system (8 citations) further underscores his expertise in ensuring operational safety and reliability. Though his citation counts are modest, Ogawa’s work is highly specialized and critical to the success of ITER, one of the most ambitious energy projects in history. His research bridges the gap between classical mechanics and modern AI, offering a practical, scalable solution for the next generation of heavy-duty robotic manipulators.