Fault-tolerant control for multi-robot networks with redundant communication modules

Abstract This paper proposes an approach that can potentially enhance the reliability and fault tolerance of multi-robot systems. It involves equipping each robot with two kinds of wireless communication modules, including an image sensor-based optical channel, and proposing a control mechanism to maintain network connectivity across the entire network in the event of module failure. The optical channel is motivated by its capability to simultaneously receive multiple signals, which enhances scalability compared to conventional radio communication. By dynamically adjusting the network topology, fault prevention is achieved, combining distributed control strategies and graph theory. A distributed control method using an artificial potential method has been proposed, and numerical simulations have confirmed the effectiveness of the proposed method.

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Publication Details

Journal
Artificial Life and Robotics
Published
2025-12-14
DOI
https://doi.org/10.1007/s10015-025-01094-2
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

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article

Fault-tolerant control for multi-robot networks with redundant communication modules

Artificial Life and Robotics
Distributed Control Multi-Agent Systems
article

Fault-tolerant control for multi-robot networks with redundant communication modules

article en

Abstract

Abstract This paper proposes an approach that can potentially enhance the reliability and fault tolerance of multi-robot systems. It involves equipping each robot with two kinds of wireless communication modules, including an image sensor-based optical channel, and proposing a control mechanism to maintain network connectivity across the entire network in the event of module failure. The optical channel is motivated by its capability to simultaneously receive multiple signals, which enhances scalability compared to conventional radio communication. By dynamically adjusting the network topology, fault prevention is achieved, combining distributed control strategies and graph theory. A distributed control method using an artificial potential method has been proposed, and numerical simulations have confirmed the effectiveness of the proposed method.

Artificial Life and RoboticsVol. 31(1)
National College of Technology, Wakayama College (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 36%
Distributed Control Multi-Agent Systems
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Fault-tolerant control for multi-robot networks with redundant communication modules · Artificial Life and Robotics (2025) | TGRS Research Map | TGRS