Stand-up indulgent gathering on lines for myopic luminous robots

Abstract We consider a strong variant of the crash fault-tolerant gathering problem called Stand-Up Indulgent Gathering (SUIG), by robots endowed with limited visibility sensors and lights on line-shaped networks. In this problem, a group of mobile robots must eventually gather at a single location, not known beforehand, regardless of the occurrence of crashes. Differently from previous work that considered unlimited visibility, we assume that robots can observe nodes only within a certain fixed distance (i.e. they are myopic), and emit a visible color from a fixed set (i.e. they are luminous), without multiplicity detection. We consider algorithms depending on two parameters related to the initial configuration: $M_{\mathrm{init}}$, which denotes the number of nodes between two border nodes, and $O_{\mathrm{init}}$, which denotes the number of nodes hosting robots. Then, a border node is a node hosting one or more robots that cannot see other robots on at least one side. Our main contribution is to prove that, if $M_{\mathrm{init}}$ or $O_{\mathrm{init}}$ is odd, SUIG can be solved in the fully synchronous model even if crashes occur at a node at any phase of execution (i.e. including within the LCM cycle).

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Publication Details

Journal
The Computer Journal
Published
2026-02-04
DOI
https://doi.org/10.1093/comjnl/bxag015
Primary Topic
Optimization and Search Problems
Type
article
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article

Stand-up indulgent gathering on lines for myopic luminous robots

The Computer Journal
Optimization and Search Problems
article

Stand-up indulgent gathering on lines for myopic luminous robots

article en

Abstract

Abstract We consider a strong variant of the crash fault-tolerant gathering problem called Stand-Up Indulgent Gathering (SUIG), by robots endowed with limited visibility sensors and lights on line-shaped networks. In this problem, a group of mobile robots must eventually gather at a single location, not known beforehand, regardless of the occurrence of crashes. Differently from previous work that considered unlimited visibility, we assume that robots can observe nodes only within a certain fixed distance (i.e. they are myopic), and emit a visible color from a fixed set (i.e. they are luminous), without multiplicity detection. We consider algorithms depending on two parameters related to the initial configuration: $M_{\mathrm{init}}$, which denotes the number of nodes between two border nodes, and $O_{\mathrm{init}}$, which denotes the number of nodes hosting robots. Then, a border node is a node hosting one or more robots that cannot see other robots on at least one side. Our main contribution is to prove that, if $M_{\mathrm{init}}$ or $O_{\mathrm{init}}$ is odd, SUIG can be solved in the fully synchronous model even if crashes occur at a node at any phase of execution (i.e. including within the LCM cycle).

The Computer Journal
Ryukoku University (JP), Hiroshima University (JP), Fukui University of Technology (JP), Centre National de la Recherche Scientifique (FR), Kyushu Institute of Technology (JP), Sorbonne Université (FR), Laboratoire des Sciences de l'Ingénieur, de l'Informatique et de l'Imagerie (FR), Laboratoire Jacques-Louis Lions (FR)
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Openalex Percentile: Top 55%
Optimization and Search Problems
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Stand-up indulgent gathering on lines for myopic luminous robots · The Computer Journal (2026) | TGRS Research Map | TGRS