Self‐Organising Distributed Multi‐Robot Task Assignment System Based on Ring Network

ABSTRACT This letter proposes a self‐organising distributed task assignment algorithm based on a ring network for multi‐robot systems. Unlike conventional multi‐robot task assignment methods, the proposed approach enables task assignment through simple data exchange, without the need for a supervisor, global synchronisation and leader election. To evaluate the proposed method, simulations were conducted with seven robots and variable task durations. Results show that all tasks were successfully assigned with balanced distribution. The optimal algorithm consistently chose the robot with the lowest execution cost, demonstrating efficient allocation without centralised control.

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Publication Details

Journal
Electronics Letters
Published
2025-01-01
DOI
https://doi.org/10.1049/ell2.70380
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
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article

Self‐Organising Distributed Multi‐Robot Task Assignment System Based on Ring Network

Sung‐Jo Yun, Na‐Hyun Lee, Goobong Chung, Ji‐Wook Kwon et al.
Electronics Letters
Modular Robots and Swarm Intelligence
article

Self‐Organising Distributed Multi‐Robot Task Assignment System Based on Ring Network

Sung‐Jo Yun, Na‐Hyun Lee, Goobong Chung, Ji‐Wook Kwon, Young‐Ho Choi, Jungwoo Lee, Hyogon Kim
article en

Abstract

ABSTRACT This letter proposes a self‐organising distributed task assignment algorithm based on a ring network for multi‐robot systems. Unlike conventional multi‐robot task assignment methods, the proposed approach enables task assignment through simple data exchange, without the need for a supervisor, global synchronisation and leader election. To evaluate the proposed method, simulations were conducted with seven robots and variable task durations. Results show that all tasks were successfully assigned with balanced distribution. The optimal algorithm consistently chose the robot with the lowest execution cost, demonstrating efficient allocation without centralised control.

Electronics LettersVol. 61(1)
Korea Institute of Robot and Convergence (KR)
Openalex Percentile: Top 81%
Modular Robots and Swarm Intelligence
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