RFID Tag Pose Estimation

We are investigating UHF Radio Frequency Identification (RFID) tag localization as a component of mobile manipulation and human-robot interaction systems and algorithms. Enhanced RFID sensing can provide sparse location information in addition to unique identification (even among visually identical objects). Our goal is to show that these enhanced capabilities, when fused with mobility and other sensing modalities such as laser range-finders, create more capable systems and algorithms.

This project is currently being carried out by Travis Deyle with Prof. Matt Reynolds and Prof. Charlie Kemp. Our work is generously supported in part by the Health Systems Institute.

Publications

tag:rfid