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About

Nao Yamada is a researcher at the forefront of human-robot interaction, with a specific focus on developing safe and intuitive robotic systems for home-care applications. Her work centers on ecological-inspired system design, activity recognition, and adaptive motion planning—all aimed at enabling robots to assist the elderly and vulnerable individuals in domestic environments. Yamada’s most cited paper (2020, 6 citations) proposes a safety manipulation strategy for home-care robots, addressing critical challenges in grasping, placing, and hand-over tasks to prevent injury. She further advances the field by developing an efficient activity recognition framework using multi-modal communication datasets (2023, 3 citations), which allows robots to better interpret human actions and intentions. Her notable study on interactive adaptation of hand-over motion (2020, 3 citations) demonstrates how robots can dynamically adjust their movements based on human posture, significantly improving the comfort and naturalness of physical interaction. Through these contributions, Yamada is helping to bridge the gap between industrial robotics and the nuanced, safety-critical demands of home-care environments, paving the way for more empathetic and responsive robot partners.