在工业机器人应用中利用5G

M. Aleksy, F. Dai, Nima Enayati, P. Rost, Guillermo Pocovi
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引用次数: 10

摘要

基于传感器的实时控制在机器人中被用于不同的目的。目前的趋势是开发能够理解环境情况并对其做出反应的智能机器人。这导致集成更复杂的算法,涉及多个传感器和移动资产,以实现更灵活和智能的运动控制。对计算能力的要求往往比机器人控制器本身所能执行的要高。如今,使用外部计算机引入了显著的通信延迟,使实时控制变得困难甚至不可能。此外,为了在运动控制场景中集成移动资产,不能采用有线通信。5G网络/本地工厂云可能会弥合这一差距。在本文中,我们描述了为什么5G技术可以为实现新型工业机器人应用做出重大贡献。此外,我们提出了各种用例,并讨论了在工业环境中基于5g的机器人应用的仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Utilizing 5G in Industrial Robotic Applications
Sensor-based real-time control is being used in robotics for different purposes. The trend is to develop intelligent robots that can understand and react on environmental situations. This leads to the integration of more complex algorithms and involving multiple sensors and mobile assets for a more flexible and intelligent motion control. The requirement on computing power becomes often higher than it could be performed on the robot controller itself. Using an external computer introduces, nowadays, significant communication delays that make real-time control difficult or even impossible. Furthermore, to integrate mobile assets in a motion control scenario wired communication cannot be employed. A 5G network / local factory cloud may bridge this gap. In this paper we describe why 5G technology can make a significant contribution to enable new types of industrial robotics applications. Moreover, we present various use cases and discuss simulation results of a 5G-based robotics application in an industrial environment.
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