Daiki Nomiyama

Papers

Total Citations

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About

Daiki Nomiyama is a researcher specializing in human-robot interaction, assistive robotics, and sensor-based perception systems for aging societies. His work focuses on developing interface robots that can autonomously understand and respond to human behavior, particularly in elderly care environments. Nomiyama’s major contributions include integrating RT middleware and RSNP network protocols to enhance robot functionality, enabling reception service applications tailored for facilities serving the elderly. He also pioneered a method for classifying age groups by analyzing walking data captured via Laser Range Scanners, using time-series distance measurements to inform dialog control in human-robot interactions. Though his most-cited papers—"Enhancement of interface robot using RT middleware and RSNP network protocol" (6 citations) and "Classification of age groups using walking data obtained from a Laser Range Scanner" (5 citations)—have modest citation counts, they represent foundational work in non-intrusive sensing and adaptive robot behavior. Nomiyama’s research bridges robotics, sensor technology, and gerontechnology, offering practical solutions for an aging population. His achievements highlight the potential of combining middleware standards with real-world deployment, making his work valuable for students and researchers interested in socially assistive robotics and ambient intelligence.