Naho Kashiwagi

Papers

Total Citations

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About

Naho Kashiwagi is a pioneering researcher in human-robot interaction and service robotics, with a focus on developing harmonious, real-world AI applications. Her major contributions center on the design, implementation, and evaluation of multi-robot service environments, particularly through the innovative PRINTEPS platform—a practical, agile AI framework that enables domain experts, not just developers, to build integrated intelligent applications. Kashiwagi’s most cited work, “Evaluation of a Multi-robot Cafe Based on Service Quality Dimensions” (2019, 26 citations), systematically assesses how multiple robots can collaborate to deliver high-quality service in a cafe setting, bridging the gap between AI technology and user satisfaction. Her earlier studies on multi-robot teahouses and cafes (2018, 7–8 citations) demonstrate the real-world feasibility of PRINTEPS, integrating diverse AI elements, sensors, and robots to create seamless, socially acceptable services. By emphasizing service quality dimensions and agile development, Kashiwagi’s research provides a foundational framework for deploying multi-robot systems in hospitality and beyond, ensuring that AI applications remain accessible, efficient, and aligned with human needs. Her work is essential reading for anyone interested in practical, user-centered robotics and AI integration.