Implementation of Wireless Synchronous Robotic Control in 5G and Edge-Cloud Environments

Weifan Zhang; Ignacio Rodriguez; Preben E. Mogensen

Implementation of Wireless Synchronous Robotic Control in 5G and Edge-Cloud Environments

Weifan Zhang, Ignacio Rodriguez, Preben E. Mogensen

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

6 Downloads (Pure)

Abstract

5G and Edge-Cloud computing play pivotal roles in fostering the flexibility and intelligence required by Industry 4.0 for modern production systems. This paper presents our investigation into deploying the control logic of two UR5e robotic arms on the Edge Cloud, utilizing 5G for communication and establishing a soft Programmable Logic Controller (PLC). Leveraging the Message Queue Telemetry Transport (MQTT) and Network Time Protocol (NTP), the soft PLC coordinates
the two robotic arms synchronously, mitigating the impact of the network latency variance. In the context of a concurrent delay-sensitive use case, our measurements reveal that, compared to Ethernet, wireless 5G results in 12 ms and 9 ms increases
in the 99.9th percentiles of uplink times and downlink times, respectively. However, the NTP-based coordination mechanism in our implemented solution demonstrates a 77% reduction in behavior inconsistencies caused by the 5G network latency variance in 99.98% of cases.

Original language	English
Title of host publication	IEEE Consumer Communications & Networking Conference
Publisher	IEEE (Institute of Electrical and Electronics Engineers)
Publication date	Jan 2025
Publication status	Published - Jan 2025
Event	IEEE Consumer Communications & Networking Conference - Las Vegas, United States Duration: 10 Jan 2025 → 13 Jan 2025 https://ccnc2025.ieee-ccnc.org/

Conference

Conference	IEEE Consumer Communications & Networking Conference
Country/Territory	United States
City	Las Vegas
Period	10/01/2025 → 13/01/2025
Internet address	https://ccnc2025.ieee-ccnc.org/

Series	IEEE Annual Consumer Communications & Networking Conference (CCNC)
ISSN	2331-9860

Keywords

robotics
5G
edge cloud
synchronization

Access to Document

synch_robotic_conrol_5G_edgecloud_aauAccepted author manuscript, 1.28 MB

AUB Link

Search for the material in Aalborg University Library's search engine

Cite this

@inproceedings{6efd42f99590472f82b4f7e7011d50b4,

title = "Implementation of Wireless Synchronous Robotic Control in 5G and Edge-Cloud Environments",

abstract = "5G and Edge-Cloud computing play pivotal roles in fostering the flexibility and intelligence required by Industry 4.0 for modern production systems. This paper presents our investigation into deploying the control logic of two UR5e robotic arms on the Edge Cloud, utilizing 5G for communication and establishing a soft Programmable Logic Controller (PLC). Leveraging the Message Queue Telemetry Transport (MQTT) and Network Time Protocol (NTP), the soft PLC coordinatesthe two robotic arms synchronously, mitigating the impact of the network latency variance. In the context of a concurrent delay-sensitive use case, our measurements reveal that, compared to Ethernet, wireless 5G results in 12 ms and 9 ms increasesin the 99.9th percentiles of uplink times and downlink times, respectively. However, the NTP-based coordination mechanism in our implemented solution demonstrates a 77% reduction in behavior inconsistencies caused by the 5G network latency variance in 99.98% of cases.",

keywords = "robotics, 5G, edge cloud, synchronization",

author = "Weifan Zhang and Ignacio Rodriguez and {E. Mogensen}, Preben",

year = "2025",

month = jan,

language = "English",

series = "IEEE Annual Consumer Communications & Networking Conference (CCNC)",

publisher = "IEEE (Institute of Electrical and Electronics Engineers)",

booktitle = "IEEE Consumer Communications & Networking Conference",

address = "United States",

note = "IEEE Consumer Communications & Networking Conference, IEEE CCNC 2025 ; Conference date: 10-01-2025 Through 13-01-2025",

url = "https://ccnc2025.ieee-ccnc.org/",

}

Zhang, W , Rodriguez, I & E. Mogensen, P 2025, Implementation of Wireless Synchronous Robotic Control in 5G and Edge-Cloud Environments. in IEEE Consumer Communications & Networking Conference. IEEE (Institute of Electrical and Electronics Engineers), IEEE Annual Consumer Communications & Networking Conference (CCNC), IEEE Consumer Communications & Networking Conference, Las Vegas, United States, 10/01/2025.

Implementation of Wireless Synchronous Robotic Control in 5G and Edge-Cloud Environments. / Zhang, Weifan ; Rodriguez, Ignacio ; E. Mogensen, Preben.
IEEE Consumer Communications & Networking Conference. IEEE (Institute of Electrical and Electronics Engineers), 2025. (IEEE Annual Consumer Communications & Networking Conference (CCNC)).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Implementation of Wireless Synchronous Robotic Control in 5G and Edge-Cloud Environments

AU - Zhang, Weifan

AU - Rodriguez, Ignacio

AU - E. Mogensen, Preben

PY - 2025/1

Y1 - 2025/1

N2 - 5G and Edge-Cloud computing play pivotal roles in fostering the flexibility and intelligence required by Industry 4.0 for modern production systems. This paper presents our investigation into deploying the control logic of two UR5e robotic arms on the Edge Cloud, utilizing 5G for communication and establishing a soft Programmable Logic Controller (PLC). Leveraging the Message Queue Telemetry Transport (MQTT) and Network Time Protocol (NTP), the soft PLC coordinatesthe two robotic arms synchronously, mitigating the impact of the network latency variance. In the context of a concurrent delay-sensitive use case, our measurements reveal that, compared to Ethernet, wireless 5G results in 12 ms and 9 ms increasesin the 99.9th percentiles of uplink times and downlink times, respectively. However, the NTP-based coordination mechanism in our implemented solution demonstrates a 77% reduction in behavior inconsistencies caused by the 5G network latency variance in 99.98% of cases.

AB - 5G and Edge-Cloud computing play pivotal roles in fostering the flexibility and intelligence required by Industry 4.0 for modern production systems. This paper presents our investigation into deploying the control logic of two UR5e robotic arms on the Edge Cloud, utilizing 5G for communication and establishing a soft Programmable Logic Controller (PLC). Leveraging the Message Queue Telemetry Transport (MQTT) and Network Time Protocol (NTP), the soft PLC coordinatesthe two robotic arms synchronously, mitigating the impact of the network latency variance. In the context of a concurrent delay-sensitive use case, our measurements reveal that, compared to Ethernet, wireless 5G results in 12 ms and 9 ms increasesin the 99.9th percentiles of uplink times and downlink times, respectively. However, the NTP-based coordination mechanism in our implemented solution demonstrates a 77% reduction in behavior inconsistencies caused by the 5G network latency variance in 99.98% of cases.

KW - robotics

KW - 5G

KW - edge cloud

KW - synchronization

M3 - Article in proceeding

T3 - IEEE Annual Consumer Communications & Networking Conference (CCNC)

BT - IEEE Consumer Communications & Networking Conference

PB - IEEE (Institute of Electrical and Electronics Engineers)

T2 - IEEE Consumer Communications & Networking Conference

Y2 - 10 January 2025 through 13 January 2025

ER -

Implementation of Wireless Synchronous Robotic Control in 5G and Edge-Cloud Environments

Abstract

Conference

Keywords

Access to Document

AUB Link

Fingerprint

Cite this