论文标题
更新新兴技术的工业机器人
Updating Industrial Robots for Emerging Technologies
论文作者
论文摘要
工业武器需要超越其标准形状,以采用新的和新兴的技术。在本文中,我们将首先对四个流行但不同的现代工业机器人武器进行分析。通过看到共同的趋势,我们将尝试推断和扩大未来的这些趋势。在这里,特别的重点将是基于增强现实(AR)的互动(AR),并通过智能手机通过智能手机进行。还将考虑长期的人类机器人互动和该互动的个性化。事实证明,在人类机器人互动中使用AR可以增强沟通和信息交流。工业臂设计的基本补充是机器人上QR标记的整合,既可访问信息又添加跟踪功能,以更轻松地显示AR叠加层。在信息访问的最新示例中,梅赛德斯·奔驰(Mercedes Benz)在汽车上添加了QR标记,以帮助营救工人估计车祸后切割和撤离人员的最佳场所。还必须在越来越多的关于协作的环境中处理安全。因此,可以将QR标记与欧盟项目SafeLog中开发的基于RF的范围模块结合使用,这些模块可以用于安全性和跟踪人类位置,同时与工业臂紧密相互作用。未来的工业武器也应该直观地与计划和互动。这将通过AR和头部安装显示以及已经提到的基于RF的人跟踪来实现。最后,可以通过终生学习AI和无形的个性化代理来实现机器人和人类之间更个性化的互动。我们提出了一种设计,该设计不仅存在于物理世界中,而且还部分在混合现实的数字世界中。
Industrial arms need to evolve beyond their standard shape to embrace new and emerging technologies. In this paper, we shall first perform an analysis of four popular but different modern industrial robot arms. By seeing the common trends we will try to extrapolate and expand these trends for the future. Here, particular focus will be on interaction based on augmented reality (AR) through head-mounted displays (HMD), but also through smartphones. Long-term human-robot interaction and personalization of said interaction will also be considered. The use of AR in human-robot interaction has proven to enhance communication and information exchange. A basic addition to industrial arm design would be the integration of QR markers on the robot, both for accessing information and adding tracking capabilities to more easily display AR overlays. In a recent example of information access, Mercedes Benz added QR markers on their cars to help rescue workers estimate the best places to cut and evacuate people after car crashes. One has also to deal with safety in an environment that will be more and more about collaboration. The QR markers can therefore be combined with RF-based ranging modules, developed in the EU-project SafeLog, that can be used both for safety as well as for tracking of human positions while in close proximity interactions with the industrial arms. The industrial arms of the future should also be intuitive to program and interact with. This would be achieved through AR and head mounted displays as well as the already mentioned RF-based person tracking. Finally, a more personalized interaction between the robots and humans can be achieved through life-long learning AI and disembodied, personalized agents. We propose a design that not only exists in the physical world, but also partly in the digital world of mixed reality.