Inoue Masato
Papers
1
Total Citations
2
H-Index
1
About
Inoue Masato is a researcher focused on advancing human-robot interaction and navigation systems through augmented reality (AR) technologies. His primary research areas include posture estimation, robot navigation, and AR marker-based localization, with a particular emphasis on applications in welfare and assistive environments. His most cited work, "Posture Estimation for Robot Navigation System based on AR Markers" (2021), introduces a system that accurately estimates the distance and Euler angle between an AR marker and a camera, enabling precise robot navigation in complex settings. Through rigorous experimentation, Inoue clarified the system's accuracy, demonstrating its potential to enhance autonomous navigation for robots assisting elderly or disabled individuals. This contribution bridges the gap between AR and robotics, offering a low-cost, reliable solution for real-world welfare applications. With 2 citations, his work has laid a foundation for further innovations in AR-driven robotic guidance. Inoue’s research is notable for its practical focus on improving quality of life, making him a promising voice in the intersection of augmented reality, robotics, and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1Posture Estimation for Robot Navigation System based on AR Markers2 citations · 2021