Management of multi-agent robotic systems using artificial intelligence technologies

A.T. Hamiyev

Кимёвий технология. Назорат ва бошқарув · 2026-yil

Annotatsiya

This article addresses the problem of managing multi-agent robotic systems using artificial intelligence technologies. A hybrid model combining the Vision-Language-Action (VLA) architecture with the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm is proposed for the synergetic control of a group of robots. The model is built on the Centralized Training with Decentralized Execution (CTDE) principle, with a Social-Force component incorporated into the reward function to automatically maintain a safe distance between agents. Experiments were conducted in the NVIDIA Isaac Sim environment using a dataset of over 10,000 trajectories and scenarios involving 4 to 16 agents. The results show a 90% task success rate, a 0.5% collision probability, and 89% energy efficiency, along with a significant reduction in communication load compared to a rule-based method and standard MADDPG. These findings confirm that integrating VLA models with multi-agent reinforcement learning improves the adaptability, fault tolerance, and collective decision-making capability of robotic swarms, opening prospects for application in agriculture, logistics, and smart-city infrastructure.

Maqola ma’lumotlari
MualliflarA.T. Hamiyev
JurnalКимёвий технология. Назорат ва бошқарув
NashriyotТошкент давлат техника университети, «Ўзқурилишматериаллар» ДАК, «Ўзкимёсаноат» ДАК, «Совпластитал» ҚҚ, Ўзбекистон Интеллектуал мулк агентлиги
ISSN2181-1105, 1815-4840
Nashr sanasi2026-06-29
Jild2026
Son3
Betlar51-57
TilIngliz
Ilmiy sohaTexnika
DOI10.59048/2181-1105.1809
Indeksga qo‘shilgan2026-09-02

DOI: 10.59048/2181-1105.1809 · Maqolaning asl sahifasi

Ilmiy soha

Texnika

Iqtibos keltirish

APAA.T. Hamiyev (2026). MANAGEMENT OF MULTI-AGENT ROBOTIC SYSTEMS USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES. Кимёвий технология. Назорат ва бошқарув, 2026(3), 51-57. https://doi.org/10.59048/2181-1105.1809
GOST (OAK)A.T. Hamiyev MANAGEMENT OF MULTI-AGENT ROBOTIC SYSTEMS USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES // Кимёвий технология. Назорат ва бошқарув. – 2026. – T. 2026, № 3. – P. 51-57. – DOI: 10.59048/2181-1105.1809.
MLAA.T. Hamiyev. “MANAGEMENT OF MULTI-AGENT ROBOTIC SYSTEMS USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES.” Кимёвий технология. Назорат ва бошқарув, 2026(3), 51-57, 2026. https://doi.org/10.59048/2181-1105.1809
ChicagoA.T. Hamiyev. “MANAGEMENT OF MULTI-AGENT ROBOTIC SYSTEMS USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES.” Кимёвий технология. Назорат ва бошқарув, 2026(3), 51-57 (2026). https://doi.org/10.59048/2181-1105.1809
HarvardA.T. Hamiyev (2026) ‘MANAGEMENT OF MULTI-AGENT ROBOTIC SYSTEMS USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES’, Кимёвий технология. Назорат ва бошқарув, 2026(3), 51-57. https://doi.org/10.59048/2181-1105.1809
BibTeX
@article{athamiyev2026,
  title = {MANAGEMENT OF MULTI-AGENT ROBOTIC SYSTEMS USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES},
  author = {A.T. Hamiyev},
  journal = {Кимёвий технология. Назорат ва бошқарув},
  year = {2026},
  volume = {2026},
  number = {3},
  pages = {51-57},
  doi = {10.59048/2181-1105.1809},
  url = {https://doi.org/10.59048/2181-1105.1809}
}

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