A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics

Cited by (418)

Items 201–300 of 418

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2. A Digital Twin Framework for Virtual Re-Commissioning of Work-Drive Systems Using CAD-based Motion Co-Simulation
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4. A Ship Digital Twin for Safe and Sustainable Ship Operations
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7. Artificial Intelligence and Industry 4.0 Trends: A Comprehensive Review and Case Study Analysis in the Moroccan Context
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8. Human-Centered Edge Artificial Intelligence for Smart Factory Applications in Industry 5.0: A Review and Perspective
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9. Reinforcement Learning for Digital Twins
   Deena P. Francis, Jonas Friederich, Adelinde M. Uhrmacher, Sanja Lazarova‐Molnar · 2024 · Simulation foundations, methods and applications
10. Challenges and possible approaches for sustainable digital twinning
    Stijn Bellis, Joachim Denil · 2022 · ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)
11. Research on Energy Digital Twin Quality Model Based on Data Driven
    Ying Shen, Kangyang Li, Zihui Xu, Zhenzhou Wang, Jianxin Ge · 2022 · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
12. Towards A Visualisation Ontology for Reusable Visual Analytics
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13. Plant Digital Twins Based on Model Phenotyping and Functional-Structural Plant Modeling
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14. Digital Twins in Manufacturing: A Systematic Literature Review With Retrieval-Augmented Generation
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15. AI Driven Digital Twins for Predictive Maintenance in Smart Factories
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16. Combining AI with urban resilience planning: A bibliometric analysis of literature
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17. Collision Classification for Unmanned Surface Vehicle using Inertial Measurement Unit Data
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18. Synergizing Human and Machine
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19. Challenges and promises of self-adaptive simulation models
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20. RETRACTED: Prioritizing robots in intelligent manufacturing using q-rung orthopair fuzzy decision-making method and unknown weight information
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21. Convergence of Blockchain and AI for IoT in Connected Life Sciences
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22. Position and Torque Joint Control for Precision Drilling in Robotic Manufacturing Applications
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23. Digital Twins for Physical Asset Lifecycle Management
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24. AI-Driven Digital Process Twin via Networked Digital Process Chain
    Ziqi Huang, Tiandong Xi, Marcel Fey, Christian Brecher · 2022 · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
25. Developing a Digital Twin Framework for Monitoring the Trajectory of the UR10 Robot Using an Extended Kalman Filter
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26. Mapping the evolution of agriculture 4.0: A bibliometric analysis of research trends
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27. AI-Driven 3D Design on Learning
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28. Role of Artificial Intelligence in Enhancing School Digital Twins
    Nalayini C M., Shailesh Arunkumar, S. Madesh · 2025 · Journal of Artificial Intelligence and Capsule Networks
29. Methodology and pilot implementation of modular educational-development platform for Interoperable Digital Twin
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30. Transfer Learning Approach for Estimating Modal Parameters of Robot Manipulators Using Minimal Experimental Data
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31. DTMA: visual object inspection and mechanism for digital twin with robotic arm
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32. Integration of Digital Twin and AI-enabled ERP Systems: A Conceptual Framework for Intelligent Electronics Manufacturing Services
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33. AGI-Inspired Digital Twin Framework for UAV-BS Deployment in Disaster Communication Recovery
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34. ML-based soft sensing and decision-making for data-driven formation pressure prediction
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35. Industrial digital twin for intelligent manufacturing: Key technologies, core challenges, applications, and forward-looking trends
    Wenlong Meng, Shuning Li, Rui Gao, Zhengfei Yue, Zhiying Tu, Dianhui Chu · 2026 · Robotics and Computer-Integrated Manufacturing
36. A state-of-the-art survey on cognitive digital twins for resilient and sustainable manufacturing
    Yimou Pan, C Y J Chen, Kendrik Yan Hong Lim, Tao Peng, Kamal Youcef‐Toumi · 2026 · Journal of Intelligent Manufacturing
37. Engineering performance of plant protein gels: From molecular design to application-driven functionalities
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38. Digital twins for plant and crop improvement
    Duke Pauli, Brennan Huppenthal, D R Wang, James C. Schnable, Bedřich Beneš · 2026 · Trends in Plant Science
39. Sustainable Industry 4.0 Methodology for Improving SMEs’ Performance
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40. A Human Manipulator Collaboration-based Scheme for Object Inspection by Robust and Fast Recognition of Hand Pose Sensing Images of Numeric Symbols Combined with Non-numeric Expressions for Smart Factories
    Ing-Jr Ding, Meng-Chuan Hsieh, Zhixuan Wu · 2023 · Sensors and Materials
41. Leveraging Modelling and Simulation to address Manufacturing Challenges
    Ayodeji A. Noiki, Enesi Yekini Salawu, Sunday Adeniran Afolalu, F. Joseph Kayode, Sunday Lukeman Lawal · 2023 · International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)
42. Desenvolvimento de uma célula de manufatura aditiva robotizada baseada no processo deposição de metal à laser usando arame de soldagem
    Alberto J. Álvares, Ígor Lacroix, Marco Aurélio Maron, Brayan S. Figueroa · 2023 · Peer Review
43. Multi-dimensional Model-driven Robot Digital Twin System
    Xian Hua Wei, Sudong Wan · 2023 · International Symposium on Sensor Technology and Control (ISSTC)
44. Robotic additive manufacturing by laser metal deposition in the context of industry 4. 0
    Alberto J. Álvares, Ígor Lacroix, Marco Aurélio Maron, Brayan S. Figueroa · 2023 · Concilium
45. Digital Technologies for the Design of Human-Robot Collaborative Cells
    Christian Cella, Andrea Maria Zanchettin, Paolo Rocco · 2023 · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
46. Training Neural Networks in Cyber-Physical Systems using Design Space Exploration and Co-Simulation
    Cinzia Bernardeschi, Marco Cococcioni, Maurizio Palmieri, Federico Rossi · 2023 · International Conference on Electrical, Communication, and Computer Engineering (ICECCE)
47. A Structured Knowledge Graph for a Geometric and Behavioral Digital Twin in the Context of Modal Testing
    Xiaoxue Shen, Prajwal Devaraja, David Wagg, Matthew S. Bonney · 2024 · Conference proceedings of the Society for Experimental Mechanics
48. Cybersecurity, digital privacy, and modeling aspects of digital twins
    Sri Nikhil Gupta Gourisetti, D. Jonathan Sebastian-Cardenas, Akshay Ranade, William Reid, Mylrea Michael, Kolga Rene, Ümit Cali · 2024 · Elsevier eBooks
49. Analyzing Decision-Making in Cognitive Agent Simulations Using Generalized Linear Mixed-Effects Models
    Shengkun Xie, Chong Gan, Anna T. Ławniczak · 2024 · Mathematics
50. Smart quality control of Industry 4.0 by artificial intelligence-powered robot vision, a review
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51. Real-Time Tracking of Production in Assembly Operations Using Agent-Based Modeling and Digital Twin Techniques
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52. Artificial Intelligence to Achieve Sustainable Development Goal 12 Responsible Consumption and Production
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53. Integration of a Digital Twin Framework for Trajectory Control of a 2RRR Planar Parallel Manipulator Using ROS/Gazebo and MATLAB
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54. Optimizing Digital Twin Supply Chains Leveraging Genetic Algorithms Markov Decision Processes
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55. Restoration and transformation of high-tech machine building industry by implementing the principles of the CALS-concept in the context of Industry 4.0 development
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56. View Selection for Industrial Object Recognition
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57. A Survey of AI Integration in Unmanned Aerial Vehicles (UAVs) Using Digital Twin Technology
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58. Machine Learning-Based Intelligent Measurement in Industrial Digital Twins
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59. INFORMATION SECURITY OF CYBER-PHYSICAL SYSTEMS: AUTHENTICATION OF DIGITAL TWINS
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60. The Rise of Agriculture 4.0: A Bibliometric Analysis of Research Trends and Future Directions
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61. Digital Twin in manufacturing. Part II. Case studies in removal and additive machining processes
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62. A Review of the Concept, Applications, Risks and Control Strategies for Digital Twin
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63. Real-Time Logistics and Warehouse Integration via Networks of the Future and Dynamic Digital Twins
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64. From Analog to Digital: Transformation of Spatial Planning in Slovak Conditions
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65. AI-Based Surrogate Models of Digital Twins for Industrial Processes
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66. Information Circularity Assistance based on extreme data
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67. Tracing the Path from Industry 4.0 to Industry 5.0 through Topic Modeling Analysis
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68. System support for ubiquitous human-cyber-physical fusion applications
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69. Implications of digital twin applications on management accounting practices to support competitive advantage: A foresight view from the Saudi business environment
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70. Enhancing Industrial Mobile Manipulators Through Cognitive Digital Twins
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71. A Cyber Physical Architecture for Symbiotic Multi-robot Fleet Management
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72. Advancing Urban Intelligence Through Digital Twins in Smart Cities
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73. Enhancing Motion Performance for CNC Machine Tools Based on AI-Driven Hybrid Model
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76. Human-Centered Digital Twins
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77. Digital Transformation of Industry Through Using AI: A Bibliometric Analysis Approach
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79. The pivotal role of artificial intelligence in digital twins: A case study
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83. Bridging Physical and Virtual Robotics: Real-Time Digital Twin with Vision-Based Identification
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84. Hybrid Attention-Augmented Deep Reinforcement Learning for Intelligent Machining Process Route Planning
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91. Towards Safety-Based Digital Twins: A New Approach of Dynamic Safety-Related Database Structure
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