RFID autonomous robot for product inventory and location
A solution for the automation of inventory taking and location of prod-ucts in a store or warehouse is presented. Radio Frequency Identifica-tion (RFID), an automatic identification technology, and mobile robotics are combined in the design of an inventory robot. The navigation of the robot is comma...
| Autor: | |
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | CBUC, CESCA |
| Repositorio: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/664139 |
| Acceso en línea: | http://hdl.handle.net/10803/664139 |
| Access Level: | acceso abierto |
| Palabra clave: | Radio Frequency Identification (RFID) Autonomous robotics Inventory Inventory Record Inaccuracy (IRI) Product location 62 |
| Sumario: | A solution for the automation of inventory taking and location of prod-ucts in a store or warehouse is presented. Radio Frequency Identifica-tion (RFID), an automatic identification technology, and mobile robotics are combined in the design of an inventory robot. The navigation of the robot is commanded by an algorithm that takes as input the progress of new identifications. Such algorithm is essential for the robot to deliver an accuracy higher than 99% and for an optimal inventory duration. An interface for the interaction with the robot and a set of procedures for its operation are implemented. The location of items is implemented using two different approaches. The first approach applies clustering to streams of identifications and assigns the known location of a reference item to all the members of a cluster. The second approach applies Bayesian Re-cursive Estimation after the computation of an identification model. A methodology for the assessment is proposed and the data set generated for the analysis shared openly. Inventory accuracy and location are as-sessed in real scenarios. The proposed solution is demonstrated valuable and ready for the market. |
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