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Experimental evaluation of radio-aware semantic map with 5G-enabled mobile robots

  • Adrian Lendinez Ibanez
    ,
  • Lanfranco Zanzi
    ,
  • Xi Li
    ,
  • Sandra Moreno
    ,
  • Guillem Garı
    ,
  • Christina C. Lessi
  • NEC Laboratories Europe
    ,
  • Robotnik Automation
    ,
  • OTE
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Open access

Abstract

With the rapid development of 5G technology and the increasing demand for autonomous mobile robots, there is a trend to leverage the ultra-low latency, high data rates, and reliable wireless connectivity offered by 5G to improve the perception and navigation of robots in unknown environments. This paper presents a novel approach for creating and exploiting radio-aware semantic maps to empower 5Genabled mobile robots operating within an unknown environment. The proposed solution allows for smart offloading of robotic applications and task processing onto the edge systems while facilitating real-time data exchange, and enables robots to gather environment data from both onboard sensors and the mobile network for more efficient robot operation and resource orchestration decisions. A radio-aware semantic mapping framework is introduced, which combines radio signal quality information with semantic mapping techniques to create a comprehensive understanding of the environment, which may evolve over time. The semantic map, enriched with radio quality measurement data, enables mobile robots to make timely informed decisions by considering real-time radio quality variations. Our experimental evaluation demonstrates the effectiveness of adopting radio semantic maps to enhance real-time robot operations on navigation and task offloading in unstructured environments. © 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Accepted/In press - 19/09/2025
  • Published - 29/09/2025

Publication status

Published - 29/09/2025

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

Publication series

  • Publication series name: 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

ISBN (Print)

9798331543945

ISBN (Electronic)

9798331543938

External Publication IDs

  • handle.net: 10547/626779

Host publication title

2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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