An Indoor Tags Position Perception Method Based on GWO–MLP Algorithm for RFID Robot
This paper proposes a tag position perception method for scenarios such as package retrieval in unmanned warehouses and book management in libraries. This method can accurately predict the distribution of tag space positions in real–time during RFID robot inventory. Firstly, the signal strength (RSS...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/12/19/4076 |
| _version_ | 1797575999249973248 |
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| author | Honggang Wang Yu Zhang Sicheng Li Qinyan Huang Ruoyu Pan Shengli Pang Jingfeng Yang |
| author_facet | Honggang Wang Yu Zhang Sicheng Li Qinyan Huang Ruoyu Pan Shengli Pang Jingfeng Yang |
| author_sort | Honggang Wang |
| collection | DOAJ |
| description | This paper proposes a tag position perception method for scenarios such as package retrieval in unmanned warehouses and book management in libraries. This method can accurately predict the distribution of tag space positions in real–time during RFID robot inventory. Firstly, the signal strength (RSSI) and speed of identification (SoI) are used as features. The grey wolf optimization multi–layer perceptron neural network model (GWO–MLP) is employed to predict the distance of tag groups. Secondly, a tag orientation prediction algorithm is designed to estimate the orientation of the tag groups. Finally, the periodicity of the phase is determined by the characteristic of RSSI attenuation as the tag–to–antenna distance increases, solving the problem of position ambiguity caused by phase periodicity. The experiment has shown that this method achieves a high accuracy rate of 96.67% and 97% in predicting the distance and orientation of tag groups, respectively. The average error in distance perception for the single tag is less than 3 cm, enabling precise perception of RFID tag positions. This method facilitates more efficient operation management and accurate item traceability. |
| first_indexed | 2024-03-10T21:47:11Z |
| format | Article |
| id | doaj.art-ecbec812d2304531b118bc5aab2b7ee5 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T21:47:11Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-ecbec812d2304531b118bc5aab2b7ee52023-11-19T14:16:54ZengMDPI AGElectronics2079-92922023-09-011219407610.3390/electronics12194076An Indoor Tags Position Perception Method Based on GWO–MLP Algorithm for RFID RobotHonggang Wang0Yu Zhang1Sicheng Li2Qinyan Huang3Ruoyu Pan4Shengli Pang5Jingfeng Yang6School of Communications and Information Engineering and School of Artificial Intelligence, Xi’an University of Posts and Telecommunications, Xi’an 710121, ChinaSchool of Communications and Information Engineering and School of Artificial Intelligence, Xi’an University of Posts and Telecommunications, Xi’an 710121, ChinaSchool of Communications and Information Engineering and School of Artificial Intelligence, Xi’an University of Posts and Telecommunications, Xi’an 710121, ChinaGuangzhou Jiaoxintou Technology Co., Ltd., Guangzhou 510100, ChinaSchool of Communications and Information Engineering and School of Artificial Intelligence, Xi’an University of Posts and Telecommunications, Xi’an 710121, ChinaSchool of Communications and Information Engineering and School of Artificial Intelligence, Xi’an University of Posts and Telecommunications, Xi’an 710121, ChinaGuangzhou Institute of Industrial Intelligence, Guangzhou 511458, ChinaThis paper proposes a tag position perception method for scenarios such as package retrieval in unmanned warehouses and book management in libraries. This method can accurately predict the distribution of tag space positions in real–time during RFID robot inventory. Firstly, the signal strength (RSSI) and speed of identification (SoI) are used as features. The grey wolf optimization multi–layer perceptron neural network model (GWO–MLP) is employed to predict the distance of tag groups. Secondly, a tag orientation prediction algorithm is designed to estimate the orientation of the tag groups. Finally, the periodicity of the phase is determined by the characteristic of RSSI attenuation as the tag–to–antenna distance increases, solving the problem of position ambiguity caused by phase periodicity. The experiment has shown that this method achieves a high accuracy rate of 96.67% and 97% in predicting the distance and orientation of tag groups, respectively. The average error in distance perception for the single tag is less than 3 cm, enabling precise perception of RFID tag positions. This method facilitates more efficient operation management and accurate item traceability.https://www.mdpi.com/2079-9292/12/19/4076RFID robotdistance perceptionGWO–MLPorientation perception |
| spellingShingle | Honggang Wang Yu Zhang Sicheng Li Qinyan Huang Ruoyu Pan Shengli Pang Jingfeng Yang An Indoor Tags Position Perception Method Based on GWO–MLP Algorithm for RFID Robot Electronics RFID robot distance perception GWO–MLP orientation perception |
| title | An Indoor Tags Position Perception Method Based on GWO–MLP Algorithm for RFID Robot |
| title_full | An Indoor Tags Position Perception Method Based on GWO–MLP Algorithm for RFID Robot |
| title_fullStr | An Indoor Tags Position Perception Method Based on GWO–MLP Algorithm for RFID Robot |
| title_full_unstemmed | An Indoor Tags Position Perception Method Based on GWO–MLP Algorithm for RFID Robot |
| title_short | An Indoor Tags Position Perception Method Based on GWO–MLP Algorithm for RFID Robot |
| title_sort | indoor tags position perception method based on gwo mlp algorithm for rfid robot |
| topic | RFID robot distance perception GWO–MLP orientation perception |
| url | https://www.mdpi.com/2079-9292/12/19/4076 |
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