Nobuhiko Hattori
Papers
1
Total Citations
6
H-Index
1
About
Nobuhiko Hattori is a robotics researcher whose work focuses on the intersection of computer vision and autonomous navigation, particularly for indoor mobile robots. His key research areas include simultaneous localization and mapping (SLAM), object detection, and environmental modification for robotic perception. Hattori’s major contribution is the development of a novel approach that integrates template matching with SIFT features for object detection and recognition, assisted by invisible floor marks. This method enables robots to efficiently narrow search spaces and accurately localize objects in cluttered indoor environments, addressing critical challenges in real-world robotic navigation. His most-cited paper, "Object Detection and Recognition Using Template Matching with SIFT Features Assisted by Invisible Floor Marks" (2009), has garnered 6 citations, reflecting its niche but foundational impact in the field. By proposing the use of strategically placed, invisible floor marks to modify environments, Hattori offers a practical solution that enhances robot perception without disrupting human spaces. His work is notable for bridging the gap between passive computer vision and active environmental design, providing a pragmatic pathway for deploying reliable autonomous systems in everyday settings.
Research Focus
Key Achievements
Top Papers
- 1