Akira Mori

National Institute of Advanced Industrial Science and Technology

Papers

Total Citations

H-Index

About

Akira Mori is a researcher whose work bridges the gap between traditional machine health monitoring and the unique challenges of modern robotics. His primary research area focuses on the online health monitoring of robotic systems, particularly robotic arms, which exhibit complex, non-stationary dynamic behaviors—such as varying angular speeds, accelerations, and torques—that differ fundamentally from conventional rotating machinery. Mori’s major contribution lies in developing diagnostic strategies tailored to these dynamic conditions, moving beyond fixed-speed monitoring to capture the nuanced signatures of wear and fault in articulated joints. His most-cited paper, "Towards Online Health Monitoring of Robotic Arm" (2023), with 3 citations, lays the groundwork for this emerging field, addressing the critical need for real-time, adaptive health assessment in industrial and service robotics. This work is notable for its practical approach to a pressing problem: ensuring the reliability and longevity of robotic systems in unpredictable operational environments. Mori’s research is essential reading for students and engineers interested in predictive maintenance, robotics reliability, and the future of autonomous manufacturing.