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5G MEC 기반 로봇 엔진 원격 구동을 위한 클라우드 로보틱스 시스템 구성 및 실증

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

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초록

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.

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.

참고문헌 (11)

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  2. C. Xia, "Microservicebased cloud robotics system for intelligent space", Robotics and Autonomous Systems, pp.139~150 (2018)[DOI]
  3. "Kubernetes"[URL]
  4. 김윤성, "클라우드 연동을 위한 ROS2 on Yocto 기반의 Thin Client 로봇 개발", 로봇학회 논문지, 16(4), pp.327~335 (2021), 한국로봇학회
  5. G. H. Woo, "The Status of Strategy of LGU+ 5G MEC", HSN2022 (2022)
  6. "cloud_bridge"[URL]
  7. "lge-ros2/cloisim"[URL]
  8. "About Quality of Service settings"[URL]
  9. J. Hespanha, "A survery of recent results in networked control systems", IEEE, 95(1), pp.38~162 (2007)[DOI]
  10. J. A. Bigheti, "Cotrol as a Service: A Microservice Approach to Industry 4.0", 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0&IoT) (2019)
  11. "Draft Recommendation ITU-T Y.RaaS-reqts: Cloud computing – Functional requirements for Robotics as a Service, ITU-T SG 13 (Study Period 2017) Temporary Document 693-WP2" (2021)[URL]

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