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Indoor positioning system simulation for a robot using radio frequency identification

机译:基于射频识别的机器人室内定位系统仿真

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摘要

Robotic automation is considered as the fourth industrial revolution by multiple industrialists. Robots are faster, more accurate, less error-prone and cost-effective when compared to human beings. For big companies, it is estimated that by 2025, labor cost savings from the adoption of advanced industrial robots would surpass 20%. However, for small and medium companies, industrial robots are still expensive and unaffordable. Fortunately, with the advent of Internet of Things (IoT), artificial intelligence, open source hardware and software, and the declining price of electronic components, a new generation of smaller, cheaper and friendlier robots are emerging, for small and medium businesses. In this paper, we propose the simulation of an Indoor Positioning System (IPS) robot, which performs a forklift operation in a warehouse. The system uses Radio Frequency Identification (RFID) technology, and Java programming language for exchanging data from a server. An ESP8266 NodeMCU module, an Arduino microcontroller and various components such as MFRC522 to read RFID tags, Ultrasonic Sensors HC-SR04 for detecting obstacles are used. This resulted in a very low cost, reliable and multifunctional system. Simulations have demonstrated that the mobile robot can transmit packets over the network to a local server for mapping without losses. Moreover, it can receive packets from the server to obtain destination points and mapping obstacles while moving around the RFID tagged floor.
机译:多个工业家将机器人自动化视为第四次工业革命。与人类相比,机器人更快,更准确,出错率更低,成本效益更高。对于大公司,据估计,到2025年,采用先进的工业机器人可节省的人工成本将超过20%。但是,对于中小型公司而言,工业机器人仍然昂贵且难以承受。幸运的是,随着物联网(IoT),人工智能,开放源代码硬件和软件的出现以及电子组件价格的下降,面向中小型企业的新一代更小,更便宜和更友好的机器人正在兴起。在本文中,我们提出了对室内定位系统(IPS)机器人的仿真,该机器人在仓库中执行叉车操作。该系统使用射频识别(RFID)技术和Java编程语言来交换来自服务器的数据。使用了ESP8266 NodeMCU模块,一个Arduino微控制器和各种组件(例如读取RFID标签的MFRC522),用于检测障碍物的超声波传感器HC-SR04。这导致了非常低成本,可靠和多功能的系统。仿真表明,移动机器人可以通过网络将数据包传输到本地服务器以进行映射,而不会造成任何损失。此外,它可以在绕过RFID标签的地板移动时从服务器接收数据包,以获取目的地点和地图障碍。

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