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

doi:10.1109/MCOMSTD.2025.3632897

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

School of Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

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 language	English
Journal	IEEE Communications Standards Magazine
DOIs	https://doi.org/10.1109/MCOMSTD.2025.3632897
State	Accepted/In press - 2025

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10.1109/MCOMSTD.2025.3632897

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title = "Toward 6G-Enabled Robots—A Case Study of Cooperative Multi-Quadrotor 3-D Mapping",

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.",

author = "Hong Chen and Asad Hussain and Elyas Meziane and Periklis Chatzimisios and Sharief Oteafy and Jaeho Lee and Bao Nguyen and Sajad Saeedi and Howard Li",

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year = "2025",

doi = "10.1109/MCOMSTD.2025.3632897",

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T1 - Toward 6G-Enabled Robots—A Case Study of Cooperative Multi-Quadrotor 3-D Mapping

AU - Chen, Hong

AU - Hussain, Asad

AU - Meziane, Elyas

AU - Chatzimisios, Periklis

AU - Oteafy, Sharief

AU - Lee, Jaeho

AU - Nguyen, Bao

AU - Saeedi, Sajad

AU - Li, Howard

PY - 2025

Y1 - 2025

N2 - 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.

AB - 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.

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SN - 2471-2825

JO - IEEE Communications Standards Magazine

JF - IEEE Communications Standards Magazine

ER -

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

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