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@article{210823,
        author = {Mr. P. Balaji and Mr. Bhavesh S. Patel and Mr. Paramesha R and Dr. S. Sivakumar and Mrs. Ch. Harini and Prof. Ms. Dipeeka Nathu Kachne and Mr. Edukondalu Simhadati},
        title = {Artificial Intelligence-Enabled Industry 5.0: A Comprehensive Review of Digital Twin Technologies, Intelligent Robotics, Energy-Efficient Manufacturing, and Predictive Maintenance},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {6},
        pages = {2356-2359},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=210823},
        abstract = {Industry 5.0 represents an emerging industrial paradigm emphasizing human-centric manufacturing, sustainability, and operational resilience through advanced technologies. Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), digital twins, intelligent robotics, and predictive maintenance are important technologies supporting this transformation. This paper reviews AI-enabled Industry 5.0, focusing on digital twin technologies, collaborative robotics, energy optimization, and predictive maintenance. The applications of AI in industrial monitoring, fault detection, intelligent decision-making, and production optimization are discussed. The integration of IoT, edge computing, and cloud platforms is also examined. Furthermore, challenges related to cybersecurity, data quality, interoperability, implementation costs, and workforce adaptation are identified. The review highlights the importance of integrating human intelligence with intelligent automation to achieve sustainable, flexible, and resilient industrial operations.},
        keywords = {Industry 5.0, Artificial Intelligence, Digital Twin, Intelligent Robotics, Predictive Maintenance, Energy Optimization, Smart Manufacturing, IoT.},
        month = {November},
        }