Toru Kaneko
Papers
22
Total Citations
259
H-Index
9
About
Toru Kaneko is a robotics researcher whose work spans mobile robot design, computer vision, and autonomous navigation, with particular expertise in omnidirectional imaging systems and environmental sensing. His most influential contribution — a 2007 paper on underwater image color registration accounting for light attenuation (69 citations) — addressed a critical challenge in underwater robotics, enabling more accurate environmental recognition in aquatic settings where conventional vision systems fail. Kaneko has made significant strides in pipe inspection robotics, developing omnidirectional laser-camera range finders and earthworm-inspired robots capable of 3D shape measurement and self-localization within narrow pipe networks — work that attracted nearly 30 citations each and holds clear applications for infrastructure maintenance in gas, water, and industrial systems. His 2003 survey on mobile robot mechanisms (27 citations) demonstrates his broader perspective on the field's evolution. Across multiple papers, Kaneko has refined methods for 3D environment modeling using omnidirectional cameras, camera motion estimation, and feature-based mapping — foundational capabilities for autonomous mobile robots. His later work on human-following robots and HOG-based person detection reflects a growing focus on human-robot interaction in everyday environments. Collectively, his research addresses real-world robotic deployment challenges across underwater, subterranean, and urban settings.
Research Focus
Key Achievements
Top Papers
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- 4A Survey on Trends of Mobile Robot Mechanisms27 citations · 2003
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- 6Construction of 3D Environment Model from an Omni-Directional Image Sequence13 citations · 2008
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