Ryusei Shigemoto
Papers
2
Total Citations
6
H-Index
2
About
Ryusei Shigemoto is a robotics researcher specializing in human-aware autonomous navigation, with a focus on enabling mobile robots to operate safely and efficiently within dense, dynamic pedestrian environments. His work addresses the fundamental challenge of close human-robot interaction in crowded spaces, where diverse behavioral intentions complicate movement planning. Shigemoto’s major contributions include developing motion planning algorithms that allow robots to merge into pedestrian flows without disrupting natural human movement patterns, as demonstrated in his 2024 paper on human-aware robot navigation. He further advanced this field by modeling human unsteady dynamic behavior—accounting for unpredictable, non-linear pedestrian movements—to improve robot decision-making in real-time scenarios. With his most-cited papers each garnering 3 citations, Shigemoto’s research is gaining recognition for its practical implications in service robotics, autonomous delivery, and public-space automation. His work stands out for its emphasis on social compliance and fluid integration, moving beyond traditional obstacle avoidance to create robots that move with, rather than against, human crowds. Shigemoto’s contributions are paving the way for more intuitive and acceptable robotic presence in everyday human environments.
Research Focus
Key Achievements
Top Papers
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- 2