Shoich Maeyama
Papers
1
Total Citations
2
H-Index
1
About
Shoich Maeyama is a researcher in robotics and human-robot interaction, with a focus on developing intelligent navigation systems for mobile robots operating in dynamic, human-populated environments. His key contributions lie in path planning that prioritizes human comfort and safety, moving beyond simple shortest-path algorithms. In his notable 2012 work, Maeyama proposed the "Human Frequency Map (HFM)," a novel framework that uses distributed environmental sensors to observe and model human walking routes. This allows robots to plan paths that respect natural human movement patterns, reducing interference and enhancing coexistence in shared spaces like homes and offices. While his most-cited paper has garnered 2 citations, his work represents an early and important step toward socially aware robotics. Maeyama’s research bridges robotics, sensor networks, and human behavior analysis, offering practical solutions for autonomous systems that must navigate crowded, unpredictable settings. His contributions are particularly relevant for service robots, assistive technologies, and smart environments, where seamless human-robot collaboration is essential.
Research Focus
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Top Papers
- 1