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Publications

Here are the 50 latest publications from the Department of Production Engineering.

[1]
S. Liu, L. Wang and R. X. Gao, "Cognitive neuroscience and robotics : Advancements and future research directions," Robotics and Computer-Integrated Manufacturing, vol. 85, 2024.
[2]
X. Li et al., "ACWGAN-GP for milling tool breakage monitoring with imbalanced data," Robotics and Computer-Integrated Manufacturing, vol. 85, 2024.
[3]
X. Zhang et al., "Knowledge graph and function block based Digital Twin modeling for robotic machining of large-scale components," Robotics and Computer-Integrated Manufacturing, vol. 85, pp. 102609, 2024.
[4]
B. Wang et al., "Human Digital Twin in the context of Industry 5.0," Robotics and Computer-Integrated Manufacturing, vol. 85, 2024.
[5]
M. Chodnicki et al., "Project-Based Collaborative Research and Training Roadmap for Manufacturing Based on Industry 4.0," in Flexible Automation and Intelligent Manufacturing : Establishing Bridges for More Sustainable Manufacturing Systems, 2024, pp. 708-715.
[6]
Y. Zhang et al., "Skeleton-RGB integrated highly similar human action prediction in human–robot collaborative assembly," Robotics and Computer-Integrated Manufacturing, vol. 86, 2024.
[7]
X. Li et al., "Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process," Journal of manufacturing systems, vol. 73, pp. 19-38, 2024.
[8]
Z. Zhang et al., "A residual reinforcement learning method for robotic assembly using visual and force information," Journal of manufacturing systems, vol. 72, pp. 245-262, 2024.
[9]
Z. Huang et al., "Cross-domain tool wear condition monitoring via residual attention hybrid adaptation network," Journal of manufacturing systems, vol. 72, pp. 406-423, 2024.
[10]
B. Yao et al., "Virtual data generation for human intention prediction based on digital modeling of human-robot collaboration," Robotics and Computer-Integrated Manufacturing, vol. 87, 2024.
[12]
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.
[13]
X. Li et al., "Smart Reconfigurable Manufacturing: Literature Analysis," in 11th CIRP Global Web Conference, CIRPe 2023, 2024, pp. 43-48.
[14]
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.
[15]
Y. Lu et al., "Smart manufacturing enabled by intelligent technologies," International journal of computer integrated manufacturing (Print), vol. 37, no. 1-2, pp. 1-3, 2024.
[16]
Z. Zhao et al., "Spatial-temporal traceability for cyber-physical industry 4.0 systems," Journal of manufacturing systems, vol. 74, pp. 16-29, 2024.
[18]
J. Fan et al., "An Integrated Hand-Object Dense Pose Estimation Approach With Explicit Occlusion Awareness for Human-Robot Collaborative Disassembly," IEEE Transactions on Automation Science and Engineering, vol. 21, no. 1, pp. 147-156, 2024.
[20]
S. Yi et al., "Safety-aware human-centric collaborative assembly," Advanced Engineering Informatics, vol. 60, 2024.
[21]
[23]
[24]
Y. Jeong, E. Flores-García and M. Wiktorsson, "Integrating Smart Production Logisticswith Network Diagrams: A Frameworkfor Data Visualization," in Proceedings of the 11th Swedish Production Symposium, 2024, pp. 601-612.
[25]
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.
[29]
F. Lupi, A. Maffei and M. Lanzetta, "CAD-based Autonomous Vision Inspection Systems," in 5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023, 2024, pp. 2127-2136.
[30]
S. Kokare et al., "Life Cycle Assessment of a Jet Printing and Dispensing Machine," in 5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023, 2024, pp. 708-718.
[32]
B. Samaan and E. Thunell, "Livscykelanalys av en eldriven båtmotor," , 2024.
[33]
C. Liljencrantz and F. Pettersson, "Konceptframtagning av ett par OTG-goggles," , 2024.
[34]
F. M. Monetti, M. Bertoni and A. Maffei, "A Systematic Literature Review:Key Performance Indicatorson Feeding-as-a-Service," in Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning : Proceedings of the 11th Swedish Production Symposium (SPS2024), 2024, pp. 256-267.
[35]
T. Svendsen, "Syrgasflaskan LIFT," , 2024.
[36]
[38]
B. Zhang et al., "Meta-learning-based approach for tool condition monitoring in multi-condition small sample scenarios," Mechanical systems and signal processing, vol. 216, 2024.
[41]
J. Baalsrud Hauge and Y. Jeong, "Does the Improvement in AI Tools Necessitate a Different Approach to Engineering Education?," in Moving Integrated Product Development to Service Clouds in the Global Economy - Proceedings of the 21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014, 2024, pp. 709-718.
[43]
L. Jongi, V. Vasdeki and J. Baalsrud Hauge, "Towards Sustainable and Technology-Enabled Engineering Psychology in Production," in Moving Integrated Product Development to Service Clouds in the Global Economy - Proceedings of the 21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014, 2024, pp. 346-357.
[44]
Y. Jeong et al., "Integrating Smart Production Logistics with Network Diagrams: A Framework for Data Visualization," in Moving Integrated Product Development to Service Clouds in the Global Economy - Proceedings of the 21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014, 2024, pp. 601-612.
[45]
S. Amir et al., "Toward a Circular Economy: A Guiding Framework for Circular Supply Chain Implementation," in Springer Series in Supply Chain Management, : Springer Nature, 2024, pp. 379-404.
[48]
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.
[49]
X. Li et al., "Flexible Job Shop Composite Dispatching Rule Mining Approach Based on an Improved Genetic Programming Algorithm," Tsinghua Science and Technology, vol. 29, no. 5, pp. 1390-1408, 2024.
Full list in the KTH publications portal