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http://dx.doi.org/10.7746/jkros.2022.17.2.118

Validation of Cloud Robotics System in 5G MEC for Remote Execution of Robot Engines  

Gu, Sewan (LG Electronics)
Kang, Sungkyu (LG Electronics)
Jeong, Wonhong (LG Electronics)
Moon, Hyungil (LG Electronics)
Yang, Hyunseok (LG Electronics)
Kim, Youngjae (LG Electronics)
Publication Information
The Journal of Korea Robotics Society / v.17, no.2, 2022 , pp. 118-123 More about this Journal
Abstract
We implemented a real-time cloud robotics application by offloading robot navigation engine over to 5G Mobile Edge Computing (MEC) sever. We also ran a fleet management system (FMS) in the server and controlled the movements of multiple robots at the same time. The mobile robots under the test were connected to the server through 5G SA network. Public 5G network, which is already commercialized, has been temporarily modified to support this validation by the network operator. Robot engines are containerized based on micro-service architecture and have been deployed using Kubernetes - a container orchestration tool. We successfully demonstrated that mobile robots are able to avoid obstacles in real-time when the engines are remotely running in 5G MEC server. Test results are compared with 5G Public Cloud and 4G (LTE) Public Cloud as well.
Keywords
5G; MEC (Mobile Edge Computing); ROS2; Navigation; Cloud; Docker; Kubernetes;
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Times Cited By KSCI : 1  (Citation Analysis)
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