This paper presents a novel framework enabling end-users to perform the management of complex robotic workplaces using a tablet and augmented reality. The framework allows users to commission the workplace comprising different types of robots, machines, or services irrespective of the vendor, set task-important points in space, specify program steps, generate a code, and control its execution. More users can collaborate simultaneously, for instance, within a large-scale workplace. Spatially registered visualization and programming enable a fast and easy understanding of workplace processes, while high precision is achieved by combining kinesthetic teaching with specific graphical tools for relative manipulation of poses. A visually defined program is for execution translated into Python representation, allowing efficient involvement of experts. The system was designed and developed in cooperation with a system integrator based on an offline printed circuit board testing use case, and its user interface was evaluated multiple times during the development. The latest evaluation was performed by three experts and indicates the high potential of the solution.

翻译：本文提出了一种新颖框架，使最终用户能够通过平板电脑和增强现实技术管理复杂的机器人工作场所。该框架允许用户配置包含不同类型机器人、机器或服务的工作场所（无论供应商是谁），在空间中设定任务关键点，指定程序步骤，生成代码并控制其执行。多个用户可以同时协作，例如在大型工作场所中。空间注册的可视化与编程能够快速、轻松地理解工作场所流程，同时通过将动觉教学与用于相对姿态操作的特定图形工具相结合，实现了高精度。视觉定义的程序可转换为Python表示以执行，从而有效邀请专家参与。该系统与系统集成商合作，基于离线印刷电路板测试用例完成设计与开发，其用户界面在开发过程中经过多次评估。最新评估由三位专家完成，结果表明该解决方案具有巨大潜力。