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A Vision of an XR-Aided Teleoperation System toward 5G/B5G

Fenghe Hu, Yansha Deng, Hui Zhou, Tae Hun Jung, Chan‐Byoung Chae, A.H. Aghvami

Year
2021
Citations
55

Abstract

Extended reality (XR)-aided teleoperation has shown its potential in improving operating efficiency in mission-critical, information-rich, and complex scenarios. The multi-sensory XR devices introduce several new types of traffic with unique quality of service (QoS) requirements, which are usually defined by three measures: human perception, corresponding sensors, and present devices. To fulfill these requirements, cellular-supported wireless connectivity can be a promising solution that can largely benefit robot-to-XR and XR-to-robot links. In this article, we present industrial and piloting use cases and identify the service bottleneck of each case. We then cover the QoS of robot-XR and XR-robot links by summarizing the sensors' parameters and processing procedures. To realize these use cases, we introduce potential solutions for each case with cellular connections. Finally, we build testbeds to investigate the effectiveness of supporting our proposed links using current wireless topologies.

Keywords

Computer scienceTeleoperationBottleneckQuality of serviceRobotComputer networkNetwork topologyDistributed computingTeleroboticsWireless

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