Kohei Oshio
Papers
4
Total Citations
9
H-Index
2
About
Kohei Oshio is a robotics researcher focused on advancing autonomous mobile robots for real-world applications, particularly in construction and dynamic public environments. His work centers on two key areas: automating illuminance measurement tasks and developing intelligent navigation systems for robots operating in unpredictable spaces. Oshio’s major contributions include the development of a 2D-SLAM illuminance measurement robot that uses 3D-LiDAR and IMU sensors to autonomously navigate slopes and large indoor construction sites, addressing Japan’s labor shortages in hazardous measurement work. He also pioneered a spatial attention-based sensory network and behavior coordination framework that enables mobile robots to make flexible, human-like decisions without prior learning or controller redesign—a critical step toward ultra-smart societies. His most-cited paper (3 citations) demonstrates the effectiveness of his SLAM approach on slopes, while his subsequent works (each with 2 citations) extend this to dynamic environments with moving people. Though early in his career, Oshio’s research bridges practical automation needs with cutting-edge AI-driven spatial reasoning, offering scalable solutions for mobility support robots in complex, real-world settings.
Research Focus
Key Achievements
Top Papers
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