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Publications in Industrial Production Systems

Here are the 50 latest publications from the Unit of Industrial Production Systems.

[1]
Q. Qin et al., "Robot digital twin systems in manufacturing : Technologies, applications, trends and challenges," Robotics and Computer-Integrated Manufacturing, vol. 97, 2026.
[2]
X. Liu et al., "A cloud manufacturing service composition optimization method for fuzzy demands based on improved NSGA-III algorithm," Robotics and Computer-Integrated Manufacturing, vol. 97, 2026.
[3]
D. Wu et al., "Empowering natural human–robot collaboration through multimodal language models and spatial intelligence: Pathways and perspectives," Robotics and Computer-Integrated Manufacturing, vol. 97, 2026.
[4]
B. Zi et al., "Coating defect detection in intelligent manufacturing: Advances, challenges, and future trends," Robotics and Computer-Integrated Manufacturing, vol. 97, 2026.
[5]
M. Sun et al., "Out-of-order execution enabled deep reinforcement learning for dynamic additive manufacturing scheduling," Robotics and Computer-Integrated Manufacturing, vol. 91, 2025.
[6]
Y. Qin et al., "A tool wear monitoring method based on data-driven and physical output," Robotics and Computer-Integrated Manufacturing, vol. 91, 2025.
[7]
X. Wang et al., "Dynamic multi-tour order picking in an automotive-part warehouse based on attention-aware deep reinforcement learning," Robotics and Computer-Integrated Manufacturing, vol. 94, pp. 102959-102959, 2025.
[8]
Q. Wang et al., "A phased robotic assembly policy based on a PL-LSTM-SAC algorithm," Journal of manufacturing systems, vol. 78, pp. 351-369, 2025.
[9]
B. Zhang et al., "An imbalanced data learning approach for tool wear monitoring based on data augmentation," Journal of Intelligent Manufacturing, vol. 36, no. 1, pp. 399-420, 2025.
[10]
J. Leng et al., "Federated learning-empowered smart manufacturing and product lifecycle management : A review," Advanced Engineering Informatics, vol. 65, 2025.
[11]
B. Wang et al., "Context-aware AR adaptive information push for product assembly: Aligning information load with human cognitive abilities," Advanced Engineering Informatics, vol. 64, 2025.
[12]
S. N. Rea Minango, "Assembly features in collaborative product development : Integrating assembly into product information to enhance stakeholder communication," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-ITM-AVL, 2025:1, 2025.
[13]
J. Leng et al., "Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II) : Design processes and enablers," Journal of manufacturing systems, vol. 79, pp. 528-562, 2025.
[14]
H. U. Rehman et al., "Intelligent configuration management in modular production systems : Integrating operational semantics with knowledge graphs," Journal of manufacturing systems, vol. 80, pp. 610-625, 2025.
[15]
T. Li et al., "Online inverse solution for deep learning-based prognostics," in Structural Health Monitoring - The 10th Asia-Pacific Workshop on Structural Health Monitoring, 10APWSHM 2024, 2025, pp. 119-126.
[16]
Q. Meng et al., "Grinding Chatter Online Monitoring Based on Multi-Sensor Fusion Information and Hybrid Deep Neural Network," IEEE Transactions on Industrial Informatics, 2025.
[17]
Y. Liu et al., "Fusing human action recognition and object detection for human-robot collaborative assembly," International Journal of Modeling, Simulation, and Scientific Computing, vol. 16, no. 03, 2025.
[18]
Z. Liu, F. Davoli and D. Borsatti, "Industrial Internet of Things (IIoT) : Trends and Technologies," Future Internet, vol. 17, no. 5, 2025.
[19]
X. Li et al., "Chatter-free milling of aerospace thin-walled parts," Journal of Materials Processing Technology, vol. 341, 2025.
[20]
J. Cai et al., "Decision-Making in Complementary Products Supply Chain : Game Theory and Sensitivity Analysis," SYSTEMS, vol. 13, no. 5, 2025.
[21]
S. Liu et al., "A Digital Twin-Enabled Approach to Reliable Human–robot Collaborative Assembly," in Human Centric Smart Manufacturing Towards Industry 5 0, : Springer Nature, 2025, pp. 281-304.
[22]
B. Wang et al., "Future Research Directions on Human-Centric Smart Manufacturing," in Human Centric Smart Manufacturing Towards Industry 5 0, : Springer Nature, 2025, pp. 359-369.
[23]
"Human-Centric Smart Manufacturing Towards Industry 5.0," , Springer Nature, Human Centric Smart Manufacturing Towards Industry 5 0, 2025.
[24]
B. Wang et al., "Preface," in Human Centric Smart Manufacturing Towards Industry 5 0, : Springer Nature, 2025.
[25]
S. Zhao et al., "Industrial Foundation Models (IFMs) for intelligent manufacturing : A systematic review," Journal of manufacturing systems, vol. 82, pp. 420-448, 2025.
[26]
J. Leng et al., "High-performance manufacturing systems : concepts, performance metrics, enablers, challenges, and research directions," Advanced Engineering Informatics, vol. 68, 2025.
[27]
J. Yan et al., "Human-centric artificial intelligence towards Industry 5.0 : retrospect and prospect," Journal of Industrial Information Integration, vol. 47, 2025.
[28]
Z. Liu et al., "Establishment and Synchronisation of Digital Twins for Multi-robot Systems in Manufacturing," in 58th CIRP Conference on Manufacturing Systems, CMS 2025, 2025, pp. 419-424.
[29]
D. Antonelli et al., "Enhancing Industrial Mobile Manipulators Through Cognitive Digital Twins," in Innovations in Industrial Engineering IV, 2025, pp. 25-36.
[30]
C. Zhang et al., "A digital twin shop-floor construction method towards seamless and resilient control," Journal of manufacturing systems, vol. 82, pp. 660-677, 2025.
[31]
J. Leng et al., "Diffusion model-driven smart design and manufacturing : Prospects and challenges," Journal of manufacturing systems, vol. 82, pp. 561-577, 2025.
[32]
Z. Chen et al., "Collaborative task scheduling in IIoT: A comparative study of evolutionary algorithms and deep reinforcement learning," Journal of Industrial Information Integration, vol. 47, 2025.
[33]
L. Ren et al., "Foundation Models for the Process Industry: Challenges and Opportunities," Engineering, 2025.
[34]
X. Li et al., "MSDF-VAE : A Cloud-Edge Collaborative Method for Fault Diagnosis Based on Transfer Learning," IEEE Internet of Things Journal, vol. 12, no. 12, pp. 22393-22403, 2025.
[35]
L. Xu et al., "Energy flexible manufacturing systems : A systematic literature review, trends and challenges," Journal of manufacturing systems, vol. 82, pp. 83-97, 2025.
[36]
M. Ding et al., "Cutting force modeling of the Gradient Helix Edge end mill based on Helix Angle Differentiation," Thin-walled structures, vol. 215, 2025.
[37]
T. Li et al., "Fusing model-based and data-driven prognostic methods for real-time model updating," Mechanical systems and signal processing, vol. 238, 2025.
[38]
J. Leng et al., "Physics-informed machine learning in intelligent manufacturing : a review," Journal of Intelligent Manufacturing, 2025.
[39]
N. Rea Minango, A. Maffei and M. Hedlind, "Integrating assembly considerations into CAD: preliminary insights from industry practitioners," in 35th CIRP Design, CIRP Design 2025, 2025, pp. 224-229.
[40]
L. Yongkui et al., "Digital Twinned Industrial Robot: Conceptual Framework, Key Technologies, and Case Study," Xitong Fangzhen Xuebao Journal of System Simulation, vol. 37, no. 7, pp. 1723-1752, 2025.
[41]
D. Lombardi, L. Traetta and A. Maffei, "ChatGPT and Instructional Design : An Ally for Inclusion?," in Inclusion, Communication, and Social Engagement - 1st International Conference, ICS exchange 2024, Proceedings, 2025, pp. 124-135.
[42]
G. Wang et al., "Multi-robot collaborative manufacturing driven by digital twins : Advancements, challenges, and future directions," Journal of manufacturing systems, vol. 82, pp. 333-361, 2025.
[43]
F. Mo et al., "Development of a runtime-condition model for proactive intelligent products using knowledge graphs and embedding," Knowledge-Based Systems, vol. 318, 2025.
[44]
M. Urgo et al., "AI-Based Pose Estimation of Human Operators in Manufacturing Environments," in Lecture Notes in Mechanical Engineering, : Springer Nature, 2024, pp. 3-38.
[45]
D. Mourtzis et al., "Modelling, Design and Simulation as-a-Service Based on Extended Reality (XR) in Industry 4.0," in CIRP Novel Topics in Production Engineering: Volume 1, : Springer Nature, 2024, pp. 99-143.
[46]
Z. Zhao et al., "Spatial-temporal traceability for cyber-physical industry 4.0 systems," Journal of manufacturing systems, vol. 74, pp. 16-29, 2024.
[47]
D. Li et al., "An online inference method for condition identification of workpieces with complex residual stress distributions," Journal of manufacturing systems, vol. 73, pp. 192-204, 2024.
[48]
F. M. Monetti and A. Maffei, "Towards the definition of assembly-oriented modular product architectures: a systematic review," Research in Engineering Design, vol. 35, no. 2, pp. 137-169, 2024.
[49]
Y. Wang et al., "Research on Pharmaceutical Supply Chain Decision-Making Model Considering Output and Demand Fluctuations," IEEE Access, vol. 12, pp. 61629-61641, 2024.
[50]
B. Wang et al., "Towards the industry 5.0 frontier: Review and prospect of XR in product assembly," Journal of manufacturing systems, vol. 74, pp. 777-811, 2024.
Full list in the KTH publications portal