References

inttrans

Интеллектуальный транспорт

Intelligent transport

3033-6007

АО «НИИАС»

inttrans-18

Research Article

СТРАТЕГИЯ НАҮЧНО-ТЕХНИЧЕСКОГО РАЗВИТИЯ ТРАНСПОРТНОЙ ОТРАСЛИ

Роботизация на железнодорожном транспорте

Robotization in railway transport

Долгий

А. И.

Dolgy

A. I.

Долгий Александр Игоревич, к.т.н, Генеральный директор

Москва

Alexander I. Dolgy, Ph.D., General Director

Moscow

a.dolgiy@vniias.ru

Хатламаджиян

А. Е.

Hatlamadzhiyan

A. E.

Хатламаджиян Агоп Ервандович, к.т.н, Заместитель Генерального директора

Москва

Agop E. Hatlamadzhiyan, Ph.D., Deputy General Director

Moscow

a.hatlamadzhiyan@vniias.ru

Озеров

А. В.

Ozerov

A. V.

Озеров Алексей Валерьевич , Начальник Международного управления

Москва

Aleksey V. Ozerov, Head of the International Department

Moscow

a.ozerov@vniias.ru

Бочков

А. В.

Bochkov

A. V.

Бочков Александр Владимирович , д.т.н., учёный секретарь

Москва

Alexander V. Bochkov, Doctor of Technical Sciences, Scientific Secretary

Moscow

a.bochkov@vniias.ru

АО «НИИАС»РоссияJSC «NIIAS»Russian Federation

2025

11092026

03(35)432

2026

Долгий А.И., Хатламаджиян А.Е., Озеров А.В., Бочков А.В.

Dolgy A.I., Hatlamadzhiyan A.E., Ozerov A.V., Bochkov A.V.

Данная работа распространяется под лицензией Creative Commons Attribution 4.0.

This work is licensed under a Creative Commons Attribution 4.0 License.

https://www.intelligent-transport.ru/jour/article/view/18

В статье рассматриваются современные тенденции и перспективы роботизации технологических процессов на железнодорожном транспорте. Анализируются ключевые технологии, такие как искусственный интеллект (ИИ), компьютерное зрение и предиктивная аналитика, которые обеспечивают автоматизацию процессов технического обслуживания, диагностики, строительства и обеспечения безопасности. Особое внимание уделено применению робототехнических комплексов в различных сферах железнодорожного транспорта, включая пассажирский сервис и логистику. Рассмотрены ограничения, связанные с внедрением роботов, и предложены пути их преодоления. Статья основана на анализе международного опыта и актуальных данных за 2024-2025 годы.

This article discusses the current trends and prospects of robotizing technological processes in rail transport. Key technologies such as artificial intelligence (AI), computer vision, and predictive analytics are analyzed for their ability to automate maintenance, diagnostics, construction, and safety processes. Particular attention is paid to the use of robotic systems in various areas of rail transportation, including passenger services and logistics. The limitations associated with introducing robots are examined, and solutions are proposed. This article is based on an analysis of international experience and current data from 2024 to 2025.

роботизацияжелезнодорожный транспортискусственный интеллекткомпьютерное зрениепредиктивная аналитикатехническое обслуживаниедиагностика

robotizationrailway transportartificial intelligencecomputer visionpredictive analyticsmaintenancediagnostics

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The authors declare that there are no conflicts of interest present.