Papers
41
Total Citations
594
H-Index
13
About
Masahiro Tomono is a distinguished robotics researcher whose work spans mobile robot localization, autonomous navigation, 3D sensing, and manipulation — areas that collectively address some of the most fundamental challenges in deploying intelligent robots in real-world environments. His most influential contribution, a scan matching method using Euclidean invariant signatures for global localization and map building (2004, 96 citations), introduced a geometric hashing approach that eliminated the need for initial pose alignment, advancing the state of simultaneous localization and mapping (SLAM) significantly. Tomono has also made notable strides in 3D perception hardware, developing a lightweight sensor platform combining gyro-assisted odometry with a roundly-swinging 3D laser scanner for outdoor navigation (53 citations), and later extending this with a gaze-capable 3D laser scanner offering adaptive measurement density. His research on mobile manipulation — enabling robots to autonomously model, grasp, and retrieve unknown objects without prior models or ID tags — represents a particularly forward-thinking contribution to practical robotics. Further work on vision-based outdoor localization under varying illumination conditions demonstrates the breadth of his expertise. With over 300 cumulative citations, Tomono's research has meaningfully shaped modern autonomous robot systems.
Research Focus
Key Achievements
Top Papers
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- 3A grasp planning for picking up an unknown object for a mobile manipulator40 citations · 2006
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- 5Mobile robot localization based on an inaccurate map29 citations · 2002
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- 83-D object modeling by a camera equipped on a mobile robot25 citations · 2004
- 93D laser scanner with gazing ability16 citations · 2011
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