Shinji Hagio
Papers
1
Total Citations
1
H-Index
1
About
Shinji Hagio is a robotics researcher whose work centers on autonomous mobile robot navigation, with a particular focus on localization and perception for industrial environments. His key contributions lie in developing practical, vision-based localization systems that leverage simple environmental features, such as floor markings, to enable reliable robot positioning in factories and warehouses. His most cited work, "Localization Based on Floor Line Map Using Monocular Camera for Factory Autonomous Mobile Robot" (2024), introduces a method that transforms line recognition from a front-mounted monocular camera into a bird’s-eye view, then applies Monte Carlo Localization with particle filtering to achieve accurate pose estimation. This approach is notable for its cost-effectiveness and robustness, using only a single camera and pre-existing floor lines rather than expensive sensors or complex infrastructure. While his citation count is still growing, Hagio’s research addresses a critical bottleneck in industrial automation: enabling mobile robots to navigate safely and precisely in dynamic, human-shared spaces. His work represents a pragmatic step toward scalable, low-cost autonomy for logistics and manufacturing, offering a foundation for future advancements in factory robotics.
Research Focus
Key Achievements
Top Papers
- 1