Kazuma Fujimoto
Papers
2
Total Citations
13
H-Index
2
About
Kazuma Fujimoto is a robotics researcher focused on developing autonomous systems that operate safely and effectively in human-populated environments. His primary research areas include human-robot interaction, multi-robot collaboration, and sensor fusion for crowded spaces. Fujimoto’s most notable contribution is the development of a following robot designed for human gathering environments, which integrates data from depth sensors and Laser Range Finders (LRFs) to achieve robust human detection and obstacle avoidance. This work, cited 10 times, lays essential groundwork for service robots that can navigate dynamic social settings without disrupting human activities. He has also explored collaborative task execution among multiple robots using the Kukanchi system, demonstrating how coordinated robotic teams can function in shared human spaces. While his citation counts reflect an emerging career, Fujimoto’s engineering contributions address critical challenges in deploying robots beyond controlled labs—particularly in real-world contexts like airports, shopping malls, or hospitals. His research emphasizes practical functionality over theoretical abstraction, making his work valuable for students and engineers seeking to build robots that coexist with people.
Research Focus
Key Achievements
Top Papers
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- 2