Papers
50
Total Citations
368
H-Index
11
About
Kazunori Umeda is a robotics researcher whose work centers on robot perception, autonomous navigation, and intelligent sensing systems. His research spans indoor localization, 3D range imaging, sensor fusion, and mobile robot vision — areas that collectively address the fundamental challenge of enabling robots to understand and navigate complex real-world environments. Among his most influential contributions is a robust indoor self-localization system using infrared LEDs as landmarks, captured by onboard cameras — a practical, elegant solution that has garnered 44 citations. His early work on fusing range and intensity images (2002) laid groundwork for richer 3D scene understanding, while his development of compact range image sensors using multi-spot and multi-slit laser projectors demonstrated a commitment to building hardware solutions tailored specifically for robotic platforms. Umeda has also advanced multi-sensor fusion techniques, combining ultrasonic and image sensors for obstacle detection, and stereo-camera-based systems for human following and occlusion-robust target tracking. His 2019 work on 3D pipeline mapping using an earthworm robot highlights his versatility and ongoing relevance in inspection robotics. With citations spanning two decades and contributions across both software algorithms and hardware design, Umeda's research has meaningfully shaped how robots perceive and interact with their surroundings.
Research Focus
Key Achievements
Top Papers
- 1A simple indoor self-localization system using infrared LEDs44 citations · 2009
- 2A compact range image sensor suitable for robots21 citations · 2004
- 3Occlusion handling for a target-tracking robot with a stereo camera19 citations · 2018
- 4Fusion of range image and intensity image for 3D shape recognition19 citations · 2002
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- 6Time optimal control for quadruped walking robots14 citations · 2006
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