Bridging Research Gaps in Industry 5.0: Synergizing Federated Learning, Collaborative Robotics, and Autonomous Systems for Enhanced Operational Efficiency and Sustainability
Industry 5.0 marks a transformative shift in industrial operations, emphasizing human-machine collaboration, sustainability, and intelligent automation. This study conducts a Systematic Literature Review (SLR) to analyze research contributions from leading digital libraries, including IEEE, ACM, Spr...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10884751/ |
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| author | Ashraf Zia Muhammad Haleem |
| author_facet | Ashraf Zia Muhammad Haleem |
| author_sort | Ashraf Zia |
| collection | DOAJ |
| description | Industry 5.0 marks a transformative shift in industrial operations, emphasizing human-machine collaboration, sustainability, and intelligent automation. This study conducts a Systematic Literature Review (SLR) to analyze research contributions from leading digital libraries, including IEEE, ACM, Springer, and MDPI, focusing on publications between 1992 and 2024. The objective is to identify existing research gaps, challenges, and synergies across Federated Learning (FL), Collaborative Robotics (Cobots), and Autonomous Systems (AS). From an initial collection of 12,079 papers, a core set of 92 relevant publications was selected based on predefined research questions. This review provides a structured analysis to guide scholars and practitioners in optimizing the interplay between FL, cobots, and autonomous systems, aiming to enhance adaptability, operational resilience, and environmental sustainability. By addressing unresolved challenges and highlighting emerging opportunities, this SLR contributes to bridging research gaps and supports the development of strategic frameworks that balance efficiency with sustainability, advancing the goals of Industry 5.0. |
| format | Article |
| id | doaj-art-0391eefbb067442e9f370e04a5a0607c |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-0391eefbb067442e9f370e04a5a0607c2025-08-20T02:48:03ZengIEEEIEEE Access2169-35362025-01-0113404564047910.1109/ACCESS.2025.354182210884751Bridging Research Gaps in Industry 5.0: Synergizing Federated Learning, Collaborative Robotics, and Autonomous Systems for Enhanced Operational Efficiency and SustainabilityAshraf Zia0https://orcid.org/0000-0002-5416-5586Muhammad Haleem1https://orcid.org/0000-0002-0782-1077Department of Computer Science, Abdul Wali Khan University Madan, Garden Campus, Mardan, PakistanDepartment of Computer Science, Faculty of Engineering and Technology, Kardan University, Kabul, AfghanistanIndustry 5.0 marks a transformative shift in industrial operations, emphasizing human-machine collaboration, sustainability, and intelligent automation. This study conducts a Systematic Literature Review (SLR) to analyze research contributions from leading digital libraries, including IEEE, ACM, Springer, and MDPI, focusing on publications between 1992 and 2024. The objective is to identify existing research gaps, challenges, and synergies across Federated Learning (FL), Collaborative Robotics (Cobots), and Autonomous Systems (AS). From an initial collection of 12,079 papers, a core set of 92 relevant publications was selected based on predefined research questions. This review provides a structured analysis to guide scholars and practitioners in optimizing the interplay between FL, cobots, and autonomous systems, aiming to enhance adaptability, operational resilience, and environmental sustainability. By addressing unresolved challenges and highlighting emerging opportunities, this SLR contributes to bridging research gaps and supports the development of strategic frameworks that balance efficiency with sustainability, advancing the goals of Industry 5.0.https://ieeexplore.ieee.org/document/10884751/Autonomous systemsblockchaincollaborative roboticscybersecuritydigital twin technologyfederated learning |
| spellingShingle | Ashraf Zia Muhammad Haleem Bridging Research Gaps in Industry 5.0: Synergizing Federated Learning, Collaborative Robotics, and Autonomous Systems for Enhanced Operational Efficiency and Sustainability IEEE Access Autonomous systems blockchain collaborative robotics cybersecurity digital twin technology federated learning |
| title | Bridging Research Gaps in Industry 5.0: Synergizing Federated Learning, Collaborative Robotics, and Autonomous Systems for Enhanced Operational Efficiency and Sustainability |
| title_full | Bridging Research Gaps in Industry 5.0: Synergizing Federated Learning, Collaborative Robotics, and Autonomous Systems for Enhanced Operational Efficiency and Sustainability |
| title_fullStr | Bridging Research Gaps in Industry 5.0: Synergizing Federated Learning, Collaborative Robotics, and Autonomous Systems for Enhanced Operational Efficiency and Sustainability |
| title_full_unstemmed | Bridging Research Gaps in Industry 5.0: Synergizing Federated Learning, Collaborative Robotics, and Autonomous Systems for Enhanced Operational Efficiency and Sustainability |
| title_short | Bridging Research Gaps in Industry 5.0: Synergizing Federated Learning, Collaborative Robotics, and Autonomous Systems for Enhanced Operational Efficiency and Sustainability |
| title_sort | bridging research gaps in industry 5 0 synergizing federated learning collaborative robotics and autonomous systems for enhanced operational efficiency and sustainability |
| topic | Autonomous systems blockchain collaborative robotics cybersecurity digital twin technology federated learning |
| url | https://ieeexplore.ieee.org/document/10884751/ |
| work_keys_str_mv | AT ashrafzia bridgingresearchgapsinindustry50synergizingfederatedlearningcollaborativeroboticsandautonomoussystemsforenhancedoperationalefficiencyandsustainability AT muhammadhaleem bridgingresearchgapsinindustry50synergizingfederatedlearningcollaborativeroboticsandautonomoussystemsforenhancedoperationalefficiencyandsustainability |