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ZENODO
Conference object . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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MATHEMATICAL MODELING OF A DECENTRALIZED ARCHITECTURE FOR CONTROLLING COLLABORATIVE WORK USING SENSOR NETWORKS

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 07 Oct 2025 English Publisher:Zenodo
Authors: Olena Chala; Amer Abu-Jassar; Vladyslav Yevsieiev; Svitlana Maksymova;

doi: 10.5281/zenodo.17289358 , 10.5281/zenodo.17289359

MATHEMATICAL MODELING OF A DECENTRALIZED ARCHITECTURE FOR CONTROLLING COLLABORATIVE WORK USING SENSOR NETWORKS

Abstract

The article considers the problem of building a decentralized architecture for controlling collaborative robots based on sensor networks, which is a relevant task for intelligent production systems of Industry 5.0. Mathematical models and expressions are proposed that describe information exchange between agents, conditions for safe interaction and coordinated movement.

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Keywords

Decentralized Control, Collaborative Robots, Sensor Networks, Mathematical Modeling, Barrier Functions, Consensus, Industry 5.0, Numerical Modeling, Multi-Agent Systems.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green