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About

Akira Yasuda is a robotics researcher whose work focuses on enabling intelligent mobile robots and industrial manipulators to operate safely and autonomously in complex, human-centered environments. His primary research areas include model-driven development, self-localization, map building, and collision-free motion planning. Yasuda’s most notable contribution is his pioneering application of Systems Modeling Language (SysML) to the model-driven development of intelligent mobile robots, a methodology that addresses the growing need for assistive vehicles for elderly and disabled populations. His 2011 paper on this topic, with 13 citations, stands as his most influential work. He has also advanced practical localization techniques using Extended Kalman Filters (5 citations) and developed interactive GUI-based systems for accurate map building in service robotics. In motion planning, Yasuda applied interval analysis to solve collision-free path problems for industrial robot arms, contributing to safer automation. While his citation counts reflect a focused, early-career impact, his work on integrating formal modeling with real-world robotic applications provides a valuable foundation for students and researchers working at the intersection of robotics, software engineering, and human-robot interaction.