Fine-Grained UHF RFID Localization for Robotics
文献类型：期刊论文
| 作者 | Jin, Meng1; Yao, Shun1; Li, Kexin1; Tian, Xiaohua1; Wang, Xinbing1; Zhou, Chenghu2; Cao, Xinde1 |
| 刊名 | IEEE-ACM TRANSACTIONS ON NETWORKING
 |
| 出版日期 | 2024-09-24 |
| 卷号 | N/A页码:16 |
| 关键词 | Location awareness Robot sensing systems Antenna arrays Radiofrequency identification Accuracy Antennas Sensors RFID wireless sensing robotics |
| ISSN号 | 1063-6692 |
| DOI | 10.1109/TNET.2024.3457696 |
| 产权排序 | 2 |
| 英文摘要 | 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. |
| 资助项目 | National Natural Science Fund of China[61960206002] ; National Natural Science Fund of China[62272293] ; National Natural Science Fund of China[62061146002] ; National Natural Science Fund of China[62020106005] ; National Natural Science Fund of China[62272301] ; National Natural Science Fund of China[623B2071] |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:001324974000001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Fund of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/210091]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Jin, Meng |
| 作者单位 | 1.Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100045, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jin, Meng,Yao, Shun,Li, Kexin,et al. Fine-Grained UHF RFID Localization for Robotics[J]. IEEE-ACM TRANSACTIONS ON NETWORKING,2024,N/A:16. |
| APA | Jin, Meng.,Yao, Shun.,Li, Kexin.,Tian, Xiaohua.,Wang, Xinbing.,...&Cao, Xinde.(2024).Fine-Grained UHF RFID Localization for Robotics.IEEE-ACM TRANSACTIONS ON NETWORKING,N/A,16. |
| MLA | Jin, Meng,et al."Fine-Grained UHF RFID Localization for Robotics".IEEE-ACM TRANSACTIONS ON NETWORKING N/A(2024):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
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