Papers
24
Total Citations
177
H-Index
8
About
Shotaro Kojima is a robotics researcher whose work focuses on autonomous navigation, semantic mapping, and field robotics for challenging environments. His major contributions center on developing perception and planning systems for mobile robots operating in hazardous industrial settings, particularly petrochemical complexes and disaster zones. Kojima pioneered SLAM-based consistent map building for firefighter robots using GPS and LIDAR fusion (24 citations), enabling human operators to compare robot-generated maps with aerial imagery for precise target identification. He is also recognized for robust stairway detection and localization methods using graph-based models and point cloud data (23 citations), critical for multi-floor robot navigation. His work with the active scope camera during the 2016 Kumamoto Earthquake (15 citations) demonstrated practical disaster response applications by investigating collapsed houses. Kojima further advanced semantic mapping from airborne LiDAR data (14 citations) and developed two-stage Hybrid A* path-planning for large-scale environments. His research on tracked vehicle motion control, including stable spiral stair climbing using wall reaction forces, addresses fundamental challenges in rough-terrain mobility. With over 130 total citations, Kojima’s work bridges perception, planning, and real-world deployment, making significant impacts on autonomous systems for emergency response and industrial inspection.
Research Focus
Key Achievements
Top Papers
- 1
- 23D graph based stairway detection and localization for mobile robots23 citations · 2016
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- 6Two-stage Hybrid A* path-planning in large petrochemical complexes9 citations · 2017
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- 9Motion control of tracked vehicle based on contact force model8 citations · 2016
- 10Parking Spot Estimation and Mapping Method for Mobile Robots6 citations · 2018