Daisuke Souma

National Institute of Advanced Industrial Science and Technology

Papers

Total Citations

H-Index

About

Daisuke Souma is a researcher focused on advancing the reliability and safety of robotic systems through intelligent health monitoring. His primary research areas include online fault detection, dynamic behavior analysis, and condition-based maintenance for robotic arms. Souma’s major contribution lies in developing monitoring strategies tailored specifically to the complex, variable-speed movements of robotic joints—a significant departure from traditional rotating machinery diagnostics. His work addresses the challenge of detecting anomalies in real time, enabling early intervention to prevent costly failures. Although his most-cited paper, "Towards Online Health Monitoring of Robotic Arm" (2023), has garnered 3 citations, it represents a foundational step in a rapidly growing field. Souma’s research is notable for its practical application in industrial automation and collaborative robotics, where uptime and precision are critical. By bridging the gap between theoretical dynamics and real-world monitoring, he is helping to shape the next generation of self-diagnosing robotic systems.