Yuma Sasaka
Papers
1
Total Citations
2
H-Index
1
About
Yuma Sasaka is a researcher at the forefront of infrastructure inspection robotics, with a primary focus on developing automated systems for crack identification in aging bridges and roadways. His most-cited work, "A Feasibility Study on Crack Identification Utilizing Images Taken from Camera Mounted on a Mobile Robot" (2017), addresses a critical challenge in civil engineering: the efficient and accurate detection of structural deterioration. This study, which has garnered 2 citations, explores the use of mobile robots equipped with cameras to capture and analyze surface images, aiming to replace or supplement conventional manual inspection methods. Sasaka's contribution lies in demonstrating the practical viability of robotic vision systems for real-world infrastructure monitoring, particularly within the context of Japan's national initiatives to develop innovative robotic inspection technologies. His work supports the broader goal of enhancing safety, reducing human risk, and lowering maintenance costs for aging transportation networks. While his citation count reflects a focused, early-stage impact, Sasaka's research is foundational for integrating robotics and computer vision into civil infrastructure management, offering a scalable solution to the global problem of deteriorating bridges and highways.
Research Focus
Key Achievements
Top Papers
- 1