THE ROLE OF ROBOTICS TECHNOLOGIES IN THE CONCEPT OF INDUSTRY 4.0

Main Article Content

Аннотация:

This paper investigates the pivotal role of robotics technologies within the framework of the Fourth Industrial Revolution (Industry 4.0). As manufacturing and service sectors undergo profound digital transformation, robotics — encompassing collaborative robots (cobots), autonomous mobile robots (AMRs), industrial manipulators, and AI-integrated systems — emerges as a cornerstone technology. Through statistical analysis, comparative tables, and sector-based evaluations, this study demonstrates that the global industrial robotics market is projected to exceed USD 74 billion by 2028. The research explores key enabling technologies (IoT, AI, machine learning, digital twins), economic impacts (productivity gains of up to 30%, labor market shifts), and current challenges including interoperability, cybersecurity, and high implementation costs. The findings confirm that strategic integration of robotics is indispensable for achieving the efficiency, flexibility, and sustainability goals of Industry 4.0.

Article Details

Как цитировать:

Narzullayeva , N. . (2026). THE ROLE OF ROBOTICS TECHNOLOGIES IN THE CONCEPT OF INDUSTRY 4.0. Молодые ученые, 4(17), 117–129. извлечено от https://in-academy.uz/index.php/yo/article/view/76440

Библиографические ссылки:

Schwab, K. (2016). The Fourth Industrial Revolution. World Economic Forum, Geneva. ISBN 978-1-944835-01-9.

International Federation of Robotics (IFR). (2023). World Robotics Report 2023: Industrial Robots. IFR Statistical Department, Frankfurt am Main.

Tilley, J. (2017). Automation, robotics, and the factory of the future. McKinsey & Company Manufacturing Report, September 2017.

Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239–242. https://doi.org/10.1007/s12599-014-0334-4

Platform Industrie 4.0. (2015). Recommendations for Implementing the Strategic Initiative Industrie 4.0. German Federal Ministry of Education and Research (BMBF), Berlin.

Siciliano, B., & Khatib, O. (Eds.). (2016). Springer Handbook of Robotics (2nd ed.). Springer International Publishing. https://doi.org/10.1007/978-3-319-32552-1

MarketsandMarkets. (2023). Industrial Robotics Market by Type, Industry, and Geography — Global Forecast to 2028. Report Code: SE 2734, Chicago, IL.

Boston Consulting Group (BCG). (2023). The Robotics Revolution: The Next Great Leap in Manufacturing. BCG Henderson Institute Report.

Naughton, K., & Webb, B. (2023). China's Robot Revolution: Policy, Market, and Technology Dynamics. Center for Strategic and International Studies (CSIS) Report, Washington D.C.

Pires, J. N., Loureiro, A., & Bölmsjo, G. (2016). Welding Robots: Technology, System Issues and Application. Springer. https://doi.org/10.1007/978-1-4471-4210-6

BCC Research. (2023). The Global Market for Collaborative Robots (Cobots). Report Code ROB022B, Wellesley, MA.

Pierson, H. A., & Gashler, M. S. (2017). Deep learning in robotics: A review of recent research. Advanced Robotics, 31(16), 821–835. https://doi.org/10.1080/01691864.2017.1365009

Lecun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444. https://doi.org/10.1038/nature14539

Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787–2805. https://doi.org/10.1016/j.comnet.2010.05.010

Zawadzki, P., & Żywicki, K. (2016). Smart product design and production control for effective mass customization in the industry 4.0 concept. Management and Production Engineering Review, 7(3), 105–112.

Grieves, M., & Vickers, J. (2017). Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems. In: Kahlen F.J., Flumerfelt S., Alves A. (eds) Transdisciplinary Perspectives on Complex Systems. Springer, Cham.

MacDougall, W. (2014). Industrie 4.0: Smart Manufacturing for the Future. Germany Trade & Invest (GTAI), Berlin.

Intuitive Surgical Inc. (2023). Annual Report 2022. Sunnyvale, CA. Retrieved from https://www.intuitivesurgical.com/investors/annual-reports/

Oberti, R., Marchi, M., Tirelli, P., Calcante, A., Iriti, M., Tona, E., ... & Hočevar, M. (2016). Selective spraying of grapevines for disease control using a modular agricultural robot. Biosystems Engineering, 146, 203–215.

McKinsey Global Institute. (2017). A Future That Works: Automation, Employment, and Productivity. McKinsey & Company. January 2017.

Deloitte. (2022). The Future of Work: Redefining Human Capability in the Age of Intelligent Machines. Deloitte Insights, New York.

Acemoglu, D., & Restrepo, P. (2020). Robots and jobs: Evidence from US labor markets. Journal of Political Economy, 128(6), 2188–2244. https://doi.org/10.1086/705716

Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30. https://doi.org/10.1257/jep.29.3.3

World Economic Forum. (2023). The Future of Jobs Report 2023. WEF, Geneva. Retrieved from https://www.weforum.org/reports/the-future-of-jobs-report-2023/

Pereira, A. C., & Romero, F. (2017). A review of the meanings and the implications of the Industry 4.0 concept. Procedia Manufacturing, 13, 1206–1214. https://doi.org/10.1016/j.promfg.2017.09.032

Accenture. (2022). Industrial Robots: Accelerating the Path to Value. Accenture Industry Report, Dublin.

European Commission. (2022). Industry 4.0: Digitalisation for Productivity and Growth. European Parliamentary Research Service, Brussels.

MIT Technology Review. (2023). 10 Breakthrough Technologies 2023: AI-Enabled Robotics. MIT Media Group, Cambridge, MA.

Brohan, A., Brown, N., Carbajal, J., Chebotar, Y., Dabis, J., Finn, C., ... & Hausman, K. (2022). RT-1: Robotics Transformer for Real-World Control at Scale. arXiv preprint arXiv:2212.06817.

Rubenstein, M., Cornejo, A., & Nagpal, R. (2014). Programmable self-assembly in a thousand-robot swarm. Science, 345(6198), 795–799. https://doi.org/10.1126/science.1254295

Rus, D., & Tolley, M. T. (2015). Design, fabrication and control of soft robots. Nature, 521(7553), 467–475. https://doi.org/10.1038/nature14543

Biamonte, J., Wittek, P., Pancotti, N., Rebentrost, P., Wiebe, N., & Lloyd, S. (2017). Quantum machine learning. Nature, 549(7671), 195–202. https://doi.org/10.1038/nature23474

European Commission. (2023). Horizon Europe Work Programme 2023–2024: Industrial Leadership in Robotics and AI. European Commission Decision C(2023)4949.

Qodirov, Farrux, and Sabrina Turayeva. "IOT (INTERNET OF THINGS) ORQALI SANOAT ENERGIYA SAMARADORLIGINI OSHIRISH." Общественные науки в современном мире: теоретические и практические исследования 4.7 (2025): 75-83.

Qodirov, Farrux, and Husniya Ergasheva. "INVESTITSIYALARNI JALB QILISH VA UNING SAMARADORLIGI." Общественные науки в современном мире: теоретические и практические исследования 3 (2024): 64-69.

Qodirov, F., N. Sirojev, and S. Negmatova. "Features of the Android Studio software package." Академические исследования в современной науке 2.17 (2023): 130-146.

Ergash o’g’li, Qodirov Farrux. "Econometric modeling of the development of medical services to the population of the region/Berlin Studies Transnational Journal of Science and Humanities." (2022): 1-1.

Кодиров, Ф. Э., and О. Д. Дониёров. "ЭФФЕКТИВНЫЕ МОДЕЛИ РАЗВИТИЯ МЕДИЦИНСКОГО ОБСЛУЖИВАНИЯ НАСЕЛЕНИЯ КАШАКАДЬИНСКОЙ ОБЛАСТИ." Символ науки 7-2 (2022): 15-17.

Қодиров, Ф. "Вилоят аҳолисига соғлиқни сақлаш хизматлари кўрсатиш тармоқлари ривожланиш механизмининг статистик таҳлили." Andijon Mashinasozlik Instituti (2022).

Қодиров, Ф. "Қашқадарё вилояти аҳолисига тиббий хизмат кўрсатиш тармоқларини ривожлантиришнинг истиқболлари"." O ‘ZBEKISTON QISHLOQ VA SUV XO ‘JALIGI" âà" AGRO ILM." o ‘zbekiston qishloq va suv xo ‘jaligi» âà «Agro ilm (2022).

Қодиров, Ф. "" ҲУДУДЛАРДА ТИББИЙ ХИЗМАТ КЎРСАТИШНИ ЭКОНОМЕТРИК МОДЕЛЛАШТИРИШ". ХОРАЗМ МАЪМУН АКАДЕМИЯСИ АХБОРОТНОМАСИ." Хоразм маъмун академияси ахборотномаси (2022).