Research on the Implementation of New Communication Technologies to Improve Quality and Stability in Motion Control of Autonomous Mobile Robots

This article presents experimental research focused on the implementation and evaluation of new wireless communication technologies to enhance the quality and stability of motion control in autonomous mobile robots. The reason for this research arises from the fact that autonomous mobile robots are increasingly used in industrial applications, where reliable real-time operation is required, which depends on low latency and the stability of wireless communication. The theoretical part deals with the possibilities of using local 5G technology in industrial mobile robotics and with the parameters of this technology. The experimental part includes measurements in which the robot was simultaneously connected to both the private 5G SA network and the Wi-Fi 6E network during its operation, where a custom Python script was used to record connection quality parameters (latency, jitter, packet loss, RSSI) together with the robot’s position in space and a timestamp. The collected data were processed and visualized in the form of graphs and heatmaps, enabling an analysis of network dynamics in relation to the robot’s movement in space. The results show that Wi-Fi 6E is more sensitive to environmental conditions, and during dynamic robot movement it often exhibits unstable latency, increased jitter, and packet loss. In contrast, the private 5G SA network demonstrates higher stability and resilience to outages, making it more suitable for industrial environments. This research highlights the importance of implementing new communication technologies to improve the quality and stability of autonomous mobile robot control.

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Publication Details

Journal
Technologies
Published
2025-11-28
DOI
https://doi.org/10.3390/technologies13120556
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on the Implementation of New Communication Technologies to Improve Quality and Stability in Motion Control of Autonomous Mobile Robots

Kamil Židek, Ján Piteľ, Nino Natmeladze, Vitalii Romaniuk
Technologies
Robotics and Automated Systems
article

Research on the Implementation of New Communication Technologies to Improve Quality and Stability in Motion Control of Autonomous Mobile Robots

Kamil Židek, Ján Piteľ, Nino Natmeladze, Vitalii Romaniuk
article en

Abstract

This article presents experimental research focused on the implementation and evaluation of new wireless communication technologies to enhance the quality and stability of motion control in autonomous mobile robots. The reason for this research arises from the fact that autonomous mobile robots are increasingly used in industrial applications, where reliable real-time operation is required, which depends on low latency and the stability of wireless communication. The theoretical part deals with the possibilities of using local 5G technology in industrial mobile robotics and with the parameters of this technology. The experimental part includes measurements in which the robot was simultaneously connected to both the private 5G SA network and the Wi-Fi 6E network during its operation, where a custom Python script was used to record connection quality parameters (latency, jitter, packet loss, RSSI) together with the robot’s position in space and a timestamp. The collected data were processed and visualized in the form of graphs and heatmaps, enabling an analysis of network dynamics in relation to the robot’s movement in space. The results show that Wi-Fi 6E is more sensitive to environmental conditions, and during dynamic robot movement it often exhibits unstable latency, increased jitter, and packet loss. In contrast, the private 5G SA network demonstrates higher stability and resilience to outages, making it more suitable for industrial environments. This research highlights the importance of implementing new communication technologies to improve the quality and stability of autonomous mobile robot control.

TechnologiesVol. 13(12)
Technical University of Košice (SK)
European Commission, Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR, Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
Openalex Percentile: Top 52%
Robotics and Automated Systems
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