Taiki Nagata

Papers

Total Citations

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About

Taiki Nagata is a robotics researcher whose work centers on autonomous manipulation, with a particular focus on integrating vision and force control for industrial applications. His most-cited paper, "Vision and force based autonomous coating with rollers" (2020), introduces a cost-effective method for using general-purpose robots to perform structural painting—a task traditionally reliant on specialized equipment. By combining visual feedback with force sensing, Nagata enables robots to achieve the thicker paint layers and consistent color quality characteristic of roller application, while maintaining the flexibility of standard robotic arms. Though his citation count is still growing, this work represents a practical step toward automating skilled manual labor in construction and manufacturing. Nagata's contributions lie at the intersection of sensor fusion and adaptive control, offering a blueprint for making autonomous coating systems more accessible. His research is particularly relevant for students and engineers interested in bridging the gap between industrial robotics and real-world, unstructured tasks—demonstrating how even niche applications like roller painting can benefit from thoughtful robotic design.