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About

Masahiro Inagawa is a pioneering researcher in the field of robotic culinary automation, with a primary focus on bridging the gap between human-readable recipes and executable robot motions. His core research areas include natural language processing for recipe interpretation, motion planning for robotic arms, and the development of compact, efficient cooking robot systems. Inagawa’s major contribution lies in creating methods to automatically interpret Japanese-language cooking recipes from general websites and convert them into precise motion sequences for single-arm cooking robots—eliminating the need for time-consuming manual programming. His most cited work, "Japanese Recipe Interpretation for Motion Process Generation of Cooking Robot" (2020, 12 citations), demonstrates this breakthrough, while his "Development of a Tower-type Cooking Robot" (2021, 11 citations) addresses the critical challenge of reducing system scale without sacrificing cooking performance. Through his analyses of recipe structures and motion generation techniques, Inagawa has laid essential groundwork for making domestic cooking robots more accessible and practical. His research not only advances robotics but also offers a compelling vision for the future of automated home cooking.