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Open Access

Intelligent robotic systems in Industry 4.0: A review

Mohsen SOORIa( )Roza DASTRESbBehrooz AREZOOcFooad Karimi Ghaleh JOUGHd,
Department of Aeronautical Engineering, University of Kyrenia, Kyrenia, North Cyprus, Via Mersin 10, Turkey
Department of Computer Engineering, Cyprus International University, North Cyprus, Via Mersin 10, Turkey
CAD/CAPP/CAM Research Center, Department of Mechanical Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Avenue, Tehran 15875-4413, Iran
Department of Civil Engineering, Final International University, AS128, Kyrenia, North Cyprus, Via Mersin 10, Turkey

Peer review under responsibility of Editorial Committee of JAMST

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Abstract

As Industry 4.0 continues to transform the landscape of modern manufacturing, the integration of intelligent robotic systems has emerged as a pivotal factor in enhancing efficiency, flexibility, and overall productivity. The Integration of intelligent robotic systems within the framework of Industry 4.0 represents a transformative shift in advanced manufacturing systems. The integration of intelligent robotic systems in Industry 4.0 has significantly reduced production costs while simultaneously improving product quality. The intelligent decision-making capabilities of robotic systems in Industry 4.0 have played a pivotal role in minimizing downtime in order to enhance productivity in process of part manufacturing. Intelligent robotic systems in Industry 4.0 has not only increased production efficiency but has also contributed to a more sustainable and eco-friendly manufacturing environment through optimized resource utilization. This review explores the key aspects, benefits, and challenges associated with the deployment of intelligent robotic systems in Industry 4.0. The review analyze the cutting-edge advancements in artificial intelligence, machine learning, and sensor technologies that contribute to the evolution of intelligent robotic systems in Industry 4.0. The discussion extends to emerging trends in intelligent robotic systems including digital twin, blockchain, Internet of Things, artificial intelligent and the integration of advanced analytics for real-time decision support systems. Challenges and considerations surrounding the implementation of intelligent robotic systems in Industry 4.0 are thoroughly examined, ranging from technical hurdles to ethical and societal implications. Finally, the review concludes with a forward-looking perspective on the future trajectory of intelligent robotic systems in Industry 4.0. As a result, the study can provide a roadmap for researchers and industry professionals to navigate the evolving landscape of intelligent robotics in the era of Industry 4.0.

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Journal of Advanced Manufacturing Science and Technology
Article number: 2024007
Cite this article:
SOORI M, DASTRES R, AREZOO B, et al. Intelligent robotic systems in Industry 4.0: A review. Journal of Advanced Manufacturing Science and Technology, 2024, 4(3): 2024007. https://doi.org/10.51393/j.jamst.2024007

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Received: 12 January 2024
Revised: 20 January 2024
Accepted: 25 January 2024
Published: 15 July 2024
© 2024 JAMST

This is an Open Access article distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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