Yuji Ogawa
Papers
5
Total Citations
27
H-Index
4
About
Yuji Ogawa’s research lies at the intersection of robotics, human-robot interaction, and dynamic environmental mapping. His primary contributions focus on developing **Human Motion Maps**—a novel framework that enables mobile robots to not only navigate indoor spaces but also understand and anticipate human movement patterns. By integrating human state estimation with SLAM (Simultaneous Localization and Mapping), Ogawa’s work allows robots to build richer environmental models that include where people are, how they move, and how they transition between locations. This is critical for robots operating in human-populated spaces like homes, hospitals, and offices. His most-cited paper (8 citations) introduces the foundational concept of a human motion map for dynamic indoor environments, while subsequent work (7 and 5 citations) refines the system with incremental learning and geographical clustering to analyze walking behavior. Although his citation counts are modest, Ogawa’s work is notable for its early and sustained focus on human-aware navigation—a topic that has since become central to service robotics. He has also contributed to mechatronics education, developing a line-trace robot as a teaching tool. Ogawa’s research offers a practical, incremental path toward robots that coexist and collaborate with humans.
Research Focus
Key Achievements
Top Papers
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