Papers
4
Total Citations
21
H-Index
3
About
Yuma Nihei’s research lies at the intersection of mobile robotics, environmental mapping, and human-robot interaction, with a focus on creating service-oriented maps that enable robots to operate intelligently in dynamic, human-populated spaces. His most cited work, “Building Environmental Maps of Human Activity for a Mobile Service Robot at the ‘Miraikan’ Museum” (2014, 10 citations), demonstrates his pioneering approach to integrating human activity data—such as walking trajectories and sitting/standing positions—into traditional occupancy maps. This work was notably deployed at the National Museum of Emerging Science and Innovation in Tokyo, showcasing real-world applicability. Nihei further advanced robotic perception by developing methods for observing tabletop objects using Kinect sensors, addressing critical gaps in object search and change detection for service robots. His research on multi-layered 2D mapping with selective particle filter updates tackled the challenge of localization in dynamic environments with occlusions from moving humans. Though his citation counts are modest, Nihei’s contributions are foundational for robots that must understand and adapt to human behavior in shared spaces—a key step toward truly autonomous service robots in museums, homes, and public facilities.
Research Focus
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Top Papers
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