Papers
31
Total Citations
1,336
H-Index
15
About
Eijiro Takeuchi is a prominent robotics researcher whose work spans autonomous navigation, simultaneous localization and mapping (SLAM), and disaster robotics. His most influential contribution — a collaborative study on mapping earthquake-damaged buildings using coordinated ground and aerial robots — has accumulated nearly 400 citations, establishing him as a key figure in multi-robot systems for emergency response. This work, alongside his deployment of robotic vehicles to measure radiation inside the Fukushima Daiichi Nuclear Power Plant, demonstrates a sustained commitment to applying robotics in life-critical scenarios. Takeuchi has made significant technical advances in 3D scan matching through his extension of Normal Distributions Transform (NDT) methods, cited over 200 times and now foundational in mobile robot localization. His research further encompasses point cloud compression using recurrent neural networks for LiDAR sensors, open-source autonomous planners for dynamic environments, and vision-based localization integrating ORB-SLAM with LiDAR mapping. His repeated participation in the Tsukuba Real World Robot Challenge reflects his dedication to validating autonomous systems in genuine outdoor conditions. Across more than a decade of research, Takeuchi has consistently bridged theoretical innovation with real-world deployment, making him an essential reference for students studying autonomous robotics and disaster response systems.
Research Focus
Key Achievements
Top Papers
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- 4Autonomous robot navigation in outdoor cluttered pedestrian walkways90 citations · 2009
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