TY - JOUR
T1 - A vision of an XR-aided teleoperation system toward 5G/B5G
AU - Hu, Fenghe
AU - Deng, Yansha
AU - Zhou, Hui
AU - Jung, Tae Hun
AU - Chae, Chan Byoung
AU - Aghvami, A. Hamid
N1 - Funding Information:
This work was partially supported by IITP, Korea (No. 2018-0-00170).
Publisher Copyright:
© 1979-2012 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/1
Y1 - 2021/1
N2 - 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-sup-ported 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.
AB - 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-sup-ported 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.
UR - http://www.scopus.com/inward/record.url?scp=85101154708&partnerID=8YFLogxK
U2 - 10.1109/MCOM.001.2000581
DO - 10.1109/MCOM.001.2000581
M3 - Article
AN - SCOPUS:85101154708
SN - 0163-6804
VL - 59
SP - 34
EP - 40
JO - IEEE COMMUNICATIONS MAGAZINE
JF - IEEE COMMUNICATIONS MAGAZINE
IS - 1
M1 - 9356511
ER -