Ryo Shioya
Papers
1
Total Citations
4
H-Index
1
About
Ryo Shioya is a researcher specializing in infrastructure inspection technologies, with a focus on mobile robotics and computer vision. His work addresses critical challenges in maintaining aging infrastructure, such as roads, tunnels, and bridges, by developing automated methods that reduce human error and inspection time. Shioya’s most cited paper, “Position and Posture Measurements Using Laser Projection Markers for Infrastructure Inspection” (2020, 4 citations), introduces a novel approach using laser markers and image processing to enhance the accuracy and efficiency of structural assessments. This work highlights his contribution to replacing traditional crack gauge methods with robotic and vision-based systems, improving safety and reliability in civil engineering. While his citation count is modest, his research is foundational in advancing practical, cost-effective solutions for infrastructure monitoring. Shioya’s achievements include integrating mobile robots with precise measurement techniques, offering a pathway toward safer, more automated inspections. His work is particularly valuable for students and researchers exploring the intersection of robotics, computer vision, and civil infrastructure, demonstrating how emerging technologies can solve real-world problems in public safety and maintenance.
Research Focus
Key Achievements
Top Papers
- 1