Miho Adachi
Papers
15
Total Citations
201
H-Index
7
About
Miho Adachi is a robotics researcher specializing in vision-based autonomous navigation, semantic segmentation, and human-centric robot mobility. Her work addresses a fundamental challenge in modern robotics: enabling autonomous mobile robots to navigate complex real-world environments using affordable, camera-based perception rather than expensive 3D LiDAR and RADAR systems. Adachi's most significant contributions center on developing navigation frameworks that leverage semantic segmentation to interpret visual scenes, allowing robots to follow roads, detect intersections, and localize themselves without dense metric maps. Her 2019 paper on vision-based road-following has garnered 47 citations, while her 2020 work on monocular camera navigation has accumulated 38 citations, collectively demonstrating sustained community interest in her lightweight sensing approach. She has also made practical contributions to dataset creation and data augmentation strategies tailored to real-world deployment conditions, including handling shadows, weather variation, and pedestrian presence. Particularly notable is her engagement with the Tsukuba Challenge, a real-world autonomous robot competition, grounding her research in practical implementation rather than controlled laboratory settings. With over 180 total citations across her body of work, Adachi has established herself as an important voice in accessible, vision-driven robot navigation for everyday human environments.
Research Focus
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Top Papers
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