Unmanned aerial vehicles (UAV) are spreading their usage in many areas, including last-mile distribution. In this research, a UAV is used for performing light parts delivery to workstation operators within a manufacturing plant, where GPS is no valid solution for indoor positioning. A generic localization solution is designed to provide navigation using RFID received signal strength measures and sonar values. A system on chip computer is onboarded with two missions: first, compute positioning and provide communication with backend software; second, provide an artificial vision system that cooperates with UAV’s navigation to perform landing procedures. An Industrial Internet of Things solution is defined for workstations to allow wireless mesh communication between the logistics vehicle and the backend software. Design is corroborated through experiments that validate planned solutions.

中文翻译：

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用于轻型零件交付的智能制造工厂中无人机的室内定位和着陆方法

无人机（UAV）的用途广泛，包括最后一英里的分布。在这项研究中，无人机用于向制造工厂内的工作站操作员执行轻型零件交付，而GPS对于室内定位而言并不是有效的解决方案。通用定位解决方案旨在使用RFID接收信号强度测量值和声纳值提供导航。片上系统计算机具有两个任务：第一，计算定位并提供与后端软件的通信。其次，提供与无人机导航配合执行着陆程序的人工视觉系统。为工作站定义了工业物联网解决方案，以允许物流车辆和后端软件之间进行无线网状通信。