Evaluation of location systems based on RF-Technology for the safeti of AGVs.
Keywords: 
AGVS
RFID
UVB
BLE
Issue Date: 
Oct-2020
Defense Date: 
Jul-2020
Publisher: 
Servicio de Publicaciones. Universidad de Navarra
Citation: 
CASTEL ANTA, Belén "Evaluation of location systems based on RF-Technology for the safeti of AGVs." Zamora, L. Trabajo fin de grado. Universidad de Navarra, Pamplona, 2020
Abstract
Industry 4.0, also called smart industry, is considered the Fourth Industrial Revolution and seeks to transform each company into a smart organization to achieve the best business results. It combines advanced production and operations techniques with smart technologies such as robotics, analytics, artificial intelligence, cognitive technologies, nanotechnology and Internet of Things (IoT). Automatic Guided Vehicles (AGVs) are essential for the development of Industry 4.0, that is, for the transformation of the industry through automation and digitization, to the point that they have revolutionized many of its processes. One of the most common applications in which AGVs are being implemented is for the movement of goods in sectors such as food or logistics, preserving productivity and, above all, safety. AGVs differ according to their guidance systems, a very important element when setting up in an industry. However, current guidance methods are most mechanical or laser scanner and its main problem is the low accuracy they can offer. RF technologies such as RFID, Ultra-wide band or millimeter wave, are currently being investigated to accurately estimate the position of obstacles and to ensure operator safety. In this final degree project we have studied the performance of indoor location systems based on Ultra-wide band and millimeter wave technology so that, they can be used as a sensing technology in a real security system for AGVs. This work shows that although there is still a long way to go, both technologies may be used in the future to estimate the location of objects and people in robot’s vicinity. In this way, the robot could rectify its path, or in a limit case, stop safely.

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