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Mohsen SOORI, Roza DASTRES, Behrooz AREZOO, Fooad Karimi Ghaleh JOUGH. Intelligent robotic systems in Industry 4.0: A review[J]. Journal of Advanced Manufacturing Science and Technology . doi: 10.51393/j.jamst.2024007
Citation: Mohsen SOORI, Roza DASTRES, Behrooz AREZOO, Fooad Karimi Ghaleh JOUGH. Intelligent robotic systems in Industry 4.0: A review[J]. Journal of Advanced Manufacturing Science and Technology . doi: 10.51393/j.jamst.2024007

Intelligent robotic systems in Industry 4.0: A review

doi: 10.51393/j.jamst.2024007
  • Received Date: 2024-01-12
  • Accepted Date: 2024-01-25
  • Rev Recd Date: 2024-01-20
  • Available Online: 2024-02-04
  • 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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