Shinpei Nakamoto
Papers
2
Total Citations
9
H-Index
2
About
Shinpei Nakamoto is a researcher dedicated to advancing the safe and intuitive coexistence of humans and mobile robots. His primary research areas lie at the intersection of human-robot interaction and autonomous navigation, with a specific focus on path planning and motion guidance. Nakamoto’s major contribution is his pioneering work on integrating human movement prediction into robotic systems. By modeling and forecasting human walking trajectories, his research enables mobile robots to plan proactive, safe, and socially compliant paths, moving beyond simple reactive collision avoidance. His foundational study, "Consideration of human movement prediction for human friendly mobile robot's path planning" (2013, 7 citations), established a key framework for this approach. He further deepened this work by investigating human walking characteristics to refine robotic guidance methods, as detailed in his 2014 publication. While his citation counts reflect a focused, early-stage impact, Nakamoto’s research is notable for addressing a critical challenge in service robotics: creating machines that can seamlessly and safely navigate human-populated environments. His contributions are essential reading for anyone developing socially-aware autonomous systems.
Research Focus
Key Achievements
Top Papers
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