Kazuhiko Taniguchi
Papers
11
Total Citations
42
H-Index
4
About
Kazuhiko Taniguchi is a robotics researcher whose work spans autonomous mobile robotics, simultaneous localization and mapping (SLAM), and human-robot interaction. His research has made meaningful contributions to the challenge of enabling mobile robots to navigate and map unknown environments intelligently, with particular emphasis on computational intelligence techniques including evolutionary algorithms, genetic algorithms, and self-organizing maps. Taniguchi's most recognized contributions center on SLAM methodologies for mobile robots, including cooperative multi-robot mapping approaches and topological map representations, work that has collectively garnered over a dozen citations. A distinctive thread throughout his career is the application of these navigation techniques to practical industrial problems — most notably the automation of illuminance measurement in construction environments, an area he has pursued persistently from 2006 through 2024. His more recent work incorporates 3D LiDAR and IMU sensor fusion to handle complex real-world terrains such as sloped surfaces, reflecting a commitment to translating laboratory research into deployable systems. Beyond navigation, Taniguchi has explored human state estimation using spiking neural networks for elderly care robotics and developed human-friendly teleoperation interfaces. His body of work reflects a researcher dedicated to bridging intelligent algorithms with socially meaningful robotic applications.
Research Focus
Key Achievements
Top Papers
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- 2Growing topological map for SLAM of mobile robots6 citations · 2008
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