Yuichi MOTEGI

Papers

Total Citations

H-Index

About

Yuichi Motegi’s research lies at the intersection of human behavior modeling, spatial design, and human-robot interaction, with a focus on creating safer, more comfortable environments. His most cited work, “Human swarm modeling in exhibition space and space design” (2011, 7 citations), introduces a Hidden Markov Model (HMM)-based approach to analyze workflows in assembly tasks involving human-robot collaboration. This foundational study explores how humans and assistive robots can jointly perform complex tasks, offering insights into optimizing cooperative dynamics. In a follow-up study, “Optimal layout of exhibits for congestion reduction in open-plan exhibition” (2014, 2 citations), Motegi addresses a critical real-world problem: reducing congestion in exhibition spaces to enhance both safety and comfort. By modeling human flow as a vector field and applying coordination-based optimization, he proposes layouts that minimize bottlenecks and improve spatial efficiency. Though his citation counts are modest, Motegi’s work is notable for its practical applications in architecture, event planning, and robotics. His research bridges computational modeling with human-centered design, offering tools to create amenity spaces that balance safety, comfort, and functionality—a contribution that resonates with researchers in human factors, robotics, and urban planning.