论文
论文题目: Fine-Grained UHF RFID Localization for Robotics
第一作者: Jin Meng, Yao Shun, Li Kexin, Tian Xiaohua etc.
联系作者:
发表年度: 2024
摘  要: We in this paper present, an RFID-based sensing system that supports miniature robots to perform agile tasks in everyday environments. 's unique capability is that it uses a single arbitrarily-deployed antenna to locate a target with sub-cm-level accuracy and identify its orientation to within few degrees. Compared with existing solutions which rely on either antenna arrays or multiple RFID readers, is cheap, compact, and applicable to miniature robots. The idea of is to stick an RFID tag on the robot (or its gripper) and use it as a moving antenna to locate the tags on the target. The core of this design is a novel technique which can build a channel between two commercial RFID tags. Such an inter-tag channel is proved to be highly sensitive to the change in inter-tag distance and is resistant to multipath. By leveraging this channel and the mobility of the robot, we emulate an antenna array and use it for fine-grained localization and orientation estimation. Our experiments show that achieves a median accuracy of 9.5mm and 3.1 degrees in 3D localization and orientation estimation. brings an eye-in-hand camera to miniature robots, supporting them to perform agile tasks in dark, cluttered, and occluded settings.
英文摘要:
刊物名称: IEEE-ACM TRANSACTIONS ON NETWORKING
全文链接:
论文类别: SCI