Yasunori Suzuki
Papers
3
Total Citations
10
H-Index
2
About
Yasunori Suzuki is a researcher in autonomous mobile robotics, with a focus on vision-based navigation and self-localization. His work addresses a core challenge in robotics: enabling a robot to determine its position and orientation using only visual cues from its surroundings, without relying on external sensors or pre-measured maps. Suzuki’s major contributions include developing robust methods for robot self-localization based on environmental visual features, as demonstrated in his most-cited paper (2009, 5 citations), which presents a system where a robot identifies its location by analyzing the visual appearance of its environment. He extended this approach to corridor navigation (2010, 3 citations), allowing a robot to both localize and follow a path using the same recognition method. His research is notable for its emphasis on simplicity and practicality—avoiding the need for precise distance measurements or complex infrastructure. While his citation counts are modest, Suzuki’s work represents a focused, incremental contribution to the field of vision-based mobile robot navigation, offering a foundation for more advanced autonomous systems in structured indoor environments.
Research Focus
Key Achievements
Top Papers
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