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Toward 6G-Enabled Robots - A Case Study of Cooperative Multi-Quadrotor 3-D Mapping

  • Hong Chen
  • , Asad Hussain
  • , Elyas Meziane
  • , Periklis Chatzimisios
  • , Sharief Oteafy
  • , Jaeho Lee
  • , Bao Nguyen
  • , Sajad Saeedi
  • , Howard Li
  • University of New Brunswick
  • International Hellenic University
  • University of New Mexico
  • DePaul University
  • Defence Research and Development Canada
  • University College London

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This paper presents a comprehensive framework for 6G-enabled cooperative robotics, focusing on decentralized multi-robot Simultaneous Localization and Mapping (SLAM). We propose standardized communication protocols, data formats, and architectural principles to enable seamless real-time collaboration among robotic agents. A feature-based map representation is introduced to facilitate efficient and lightweight data exchange, while 6G network slicing is leveraged to ensure ultra-reliable, low-latency communication for both control and mapping traffic. We implement a decentralized multi-quadrotor SLAM system for feature tracking, validated through 3D simulations in a dynamic environment. Results demonstrate successful collaborative mapping and localization despite sensor noise and intermittent communication. The study highlights the transformative potential of 6G in enabling scalable, reliable, and efficient cooperative robotic systems.

Original languageEnglish
Pages (from-to)254-262
Number of pages9
JournalIEEE Communications Standards Magazine
Volume10
Issue number2
DOIs
StatePublished - 1 Jun 2026

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