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.
[11]
[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]
J. Leng et al.,
"Unlocking the power of industrial artificial intelligence towards Industry 5.0: Insights, pathways, and challenges,"
Journal of manufacturing systems, vol. 73, pp. 349-363, 2024.
[17]
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]
Q. Lu et al.,
"Pricing strategy research in the dual-channel pharmaceutical supply chain considering service,"
Frontiers In Public Health, vol. 12, 2024.
[19]
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]
[21]
S. Yi et al.,
"Safety-aware human-centric collaborative assembly,"
Advanced Engineering Informatics, vol. 60, 2024.
[22]
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.
[23]
X. Li et al.,
"Joint scheduling optimisation method for the machining and heat-treatment of hydraulic cylinders based on improved multi-objective migrating birds optimisation,"
Journal of manufacturing systems, vol. 73, pp. 170-191, 2024.
[24]
X. Li et al.,
"Knowledge graph based OPC UA information model automatic construction method for heterogeneous devices integration,"
Robotics and Computer-Integrated Manufacturing, vol. 88, 2024.
[25]
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.
[26]
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.
[27]
D. Antonelli et al.,
"Exploring the limitations and potential of digital twins for mobile manipulators in industry,"
in 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2024, pp. 1121-1130.
[28]
C. Li et al.,
"Unleashing mixed-reality capability in Deep Reinforcement Learning-based robot motion generation towards safe human–robot collaboration,"
Journal of manufacturing systems, vol. 74, pp. 411-421, 2024.
[29]
D. Antonelli et al.,
"Exploring the limitations and potential of digital twins for mobile manipulators in industry,"
in 5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023, 2024, pp. 1121-1130.
[30]
A. Aristeidou,
"Development of a Business Model Framework for Collaborative Model-Based Engineering,"
, 2024.
[31]
[32]
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.
[33]
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.
[34]
M. Subasic et al.,
"Fatigue strength improvement of additively manufactured 316L stainless steel with high porosity through preloading,"
International Journal of Fatigue, vol. 180, 2024.
[35]
[36]
[37]
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.
[38]
[39]
E. Lindahl,
"Circular production operations – A management system's framework for seamless transition from linear to circular,"
Cleaner Environmental Systems, vol. 13, pp. 100191-100191, 2024.
[40]
E. Lindahl,
"Circular Production Management : Strategies for accelerating the transition from linear to circular production operations,"
Licentiate thesis Stockholm : Kungliga tekniska högskolan, TRITA-ITM-AVL, 2024:12, 2024.
[41]
E. Lindahl,
"Circular production operations – A management system's framework for seamless transition from linear to circular,"
Cleaner Environmental Systems, vol. 13, 2024.
[42]
[43]
Y. Li et al.,
"Digital twin-based job shop anomaly detection and dynamic scheduling,"
Robotics and Computer-Integrated Manufacturing, vol. 79, 2023.
[44]
Y. Liu et al.,
"Scheduling of decentralized robot services in cloud manufacturing with deep reinforcement learning,"
Robotics and Computer-Integrated Manufacturing, vol. 80, pp. 102454, 2023.
[45]
J. Mahmoudi,
"CFD Analyses and Comparison of the Effect of Industrial Heat Sinks in Subsea Control System (SCS),"
JOURNAL OF APPLIED AND COMPUTATIONAL MECHANICS, vol. 9, no. 1, pp. 95-112, 2023.
[46]
[47]
[48]
[49]
Q. Wang et al.,
"Multi-actor perspectives on human robotic collaboration implementation in the heavy automotive manufacturing industry- A Swedish case study,"
Technology in society, vol. 72, pp. 102165, 2023.
[50]
N. Rea Minango and A. Maffei,
"Beyond assembly features: systematic review of the core concepts and perspectives towards a unified approach to assembly information representation,"
Research in Engineering Design, vol. 34, no. 1, pp. 3-38, 2023.