Rfid autonomous robot for product inventory and location

• Autores: Marc Morenza Cinos
• Directores de la Tesis: Rafael Pous Andrés (dir. tes.)
• Lectura: En la Universitat Pompeu Fabra ( España ) en 2018
• Idioma: español
• Tribunal Calificador de la Tesis: Plamen Iliev (presid.), Boris Bellalta i Jiménez (secret.), Rahul Bhattacharya (voc.)
• Programa de doctorado: Programa de Doctorado en Tecnologías de la Información y las Comunicaciones por la Universidad Pompeu Fabra
• Materias:
  • Matemáticas
    • Ciencia de los ordenadores
      • Control de inventarios
  • Ciencias tecnológicas
    • Tecnología de las telecomunicaciones
      • Radiocomunicaciones
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• Resumen

  • A solution for the automation of inventory taking and location of products in a store or warehouse is presented. Radio Frequency Identification (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 Recursive Estimation after the computation of an identification model. A methodology for the assessment is proposed and the data set generated for the evaluation of location shared openly. Inventory accuracy and location are assessed in real scenarios. The proposed solution is demonstrated valuable and ready for the market.