Christian Floerkemeier

Massachusetts Institute of Technology, ETH Zurich

Papers

Total Citations

181

H-Index

About

Christian Floerkemeier is a leading researcher in pervasive computing and automatic identification systems, with a particular focus on RFID (Radio-Frequency Identification) technology and its real-world applications. His work has fundamentally advanced how RFID systems can be deployed for industrial control, inventory management, and supply chain optimization. Floerkemeier’s early research on "Reasoning about uncertainty in location identification with Auto-ID" (91 citations) tackled the critical challenge of handling location uncertainty in RFID-enabled tracking systems, laying groundwork for more reliable industrial automation. He further demonstrated practical impact through his work on "Inventory Management with an RFID-equipped Mobile Robot" (52 citations), introducing the LibBot system that automates shelf-reading processes in libraries—a pioneering application of mobile robotics combined with RFID. His research on "Assessing and Optimizing the Range of UHF RFID to Enable Real-World Pervasive Computing Applications" (38 citations) provided essential guidelines for maximizing RFID read ranges in complex environments, directly enabling more robust pervasive computing deployments. Floerkemeier’s contributions have been instrumental in bridging the gap between theoretical RFID capabilities and practical, scalable implementations across logistics, retail, and library automation.