About

Kazumichi Inoue is a robotics researcher whose work centers on autonomous mobile robot navigation, localization, and human-safe robot design for real-world environments. His most influential contribution, a 2008 paper on teleoperation systems for agricultural vehicles (55 citations), established his early expertise in applying intelligent control to practical, field-based applications. Inoue has since become closely associated with the Real World Robot Challenge (RWRC), a prestigious annual competition held in Japan, through which he has advanced several key technologies. His work on magnetic and geometric landmark-based navigation — combining magnetic sensors with LIDAR and Monte Carlo Localization — addresses the critical challenge of robust outdoor robot operation amid dynamic obstacles like pedestrians and cyclists. He also developed effective person-detection methods using color layout analysis, broadening robots' perceptual capabilities in crowded spaces. Beyond functionality, Inoue has meaningfully contributed to robot design philosophy, advocating for safety and aesthetic considerations in service robots operating in public spaces, as demonstrated by the development of the flexible-cowled mobile robot SARA. Collectively, his publications have accumulated over 140 citations, reflecting a sustained and well-regarded body of work bridging practical robotics engineering with real-world deployment challenges.

Research Focus

Key Achievements

7
H-Index
16
Papers
167
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Development of a teleoperation system for agricultural vehicles
55 citations · 2008
📈 Most Prolific Year: 2014 (4 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: Hokkaido Agricultural Research Center, Utsunomiya University, Osaka University of Human Sciences, National Institute of Technology, Kagoshima College

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago