Michael Frissora
Papers
1
Total Citations
6
H-Index
1
About
Michael Frissora is a researcher whose work lies at the intersection of robotics, automation, and data center infrastructure management. His most-cited paper, "Locating and tracking data center assets using active RFID tags and a mobile robot" (2013, 6 citations), introduces a novel approach to automated asset tracking by replacing fixed RFID readers with a vision-based mobile robot. This work addresses a critical challenge in large-scale data centers: the need for precise, scalable, and cost-effective asset localization. By integrating active RFID tags with a mobile platform, Frissora’s method improves tracking granularity without the expense of dense fixed-reader networks. Though his citation count is modest, his contribution is notable for its practical, systems-level thinking—bridging robotics and data center operations. This research has implications for reducing downtime, optimizing inventory management, and enabling autonomous facility maintenance. Frissora’s work exemplifies how applied robotics can solve real-world logistical problems, making him a valuable voice in the growing field of automated infrastructure management.
Research Focus
Key Achievements
Top Papers
- 1