Papers
18
Total Citations
133
H-Index
7
About
Kiyoshi Irie is a leading researcher in mobile robotics, specializing in outdoor navigation, computer vision, and autonomous systems. His major contributions center on enabling robots to localize and navigate reliably in challenging, real-world environments—particularly under varying illumination and without pre-built maps. Irie pioneered the use of stereo vision and High Dynamic Range (HDR) imaging for outdoor localization, as demonstrated in his highly cited work (25 citations) on overcoming illumination changes. He also advanced practical navigation by integrating 3D laser scanners with gazing capabilities and developing methods for road boundary recognition using digital street maps. His impact is reflected in over 100 total citations across his top papers, with key works consistently cited by peers tackling similar challenges. Notably, Irie’s team, CIT Brains, won the RoboCup 2022 KidSize League, showcasing his ability to translate research into winning, open-platform hardware and software. Through his participation in the Tsukuba Challenge—a demanding 1km outdoor navigation trial—Irie has proven his systems’ real-world reliability, solidifying his reputation as a key innovator in field robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 23D laser scanner with gazing ability16 citations · 2011
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- 4A High Dynamic Range vision approach to outdoor localization12 citations · 2011
- 5
- 6Road recognition from a single image using prior information11 citations · 2013
- 7A dependence maximization approach towards street map-based localization7 citations · 2015
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