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Publikationer

Här visas de 50 senaste publikationerna från institutionen för Produktionsutveckling.

[1]
Z. Zhou et al., "Learning accurate and efficient three-finger grasp generation in clutters with an auto-annotated large-scale dataset," Robotics and Computer-Integrated Manufacturing, vol. 91, 2025.
[2]
S. Liu, L. Wang och R. X. Gao, "Cognitive neuroscience and robotics : Advancements and future research directions," Robotics and Computer-Integrated Manufacturing, vol. 85, 2024.
[3]
X. Li et al., "ACWGAN-GP for milling tool breakage monitoring with imbalanced data," Robotics and Computer-Integrated Manufacturing, vol. 85, 2024.
[4]
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, s. 102609, 2024.
[5]
B. Wang et al., "Human Digital Twin in the context of Industry 5.0," Robotics and Computer-Integrated Manufacturing, vol. 85, 2024.
[6]
M. Chodnicki et al., "Project-Based Collaborative Research and Training Roadmap for Manufacturing Based on Industry 4.0," i Flexible Automation and Intelligent Manufacturing : Establishing Bridges for More Sustainable Manufacturing Systems, 2024, s. 708-715.
[7]
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.
[8]
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, s. 19-38, 2024.
[9]
Z. Zhang et al., "A residual reinforcement learning method for robotic assembly using visual and force information," Journal of manufacturing systems, vol. 72, s. 245-262, 2024.
[10]
Z. Huang et al., "Cross-domain tool wear condition monitoring via residual attention hybrid adaptation network," Journal of manufacturing systems, vol. 72, s. 406-423, 2024.
[11]
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]
H. Gajanan Naik, "Effective Digitization in Brownfield Factories : A conceptualized model for technology transfer to brownfield production factories through smart factory lab," , 2024.
[13]
M. Urgo et al., "AI-Based Pose Estimation of Human Operators in Manufacturing Environments," i Lecture Notes in Mechanical Engineering, : Springer Nature, 2024, s. 3-38.
[14]
X. Li et al., "Smart Reconfigurable Manufacturing: Literature Analysis," i 11th CIRP Global Web Conference, CIRPe 2023, 2024, s. 43-48.
[15]
D. Mourtzis et al., "Modelling, Design and Simulation as-a-Service Based on Extended Reality (XR) in Industry 4.0," i CIRP Novel Topics in Production Engineering: Volume 1, : Springer Nature, 2024, s. 99-143.
[16]
Y. Lu et al., "Smart manufacturing enabled by intelligent technologies," International journal of computer integrated manufacturing (Print), vol. 37, no. 1-2, s. 1-3, 2024.
[17]
Z. Zhao et al., "Spatial-temporal traceability for cyber-physical industry 4.0 systems," Journal of manufacturing systems, vol. 74, s. 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, s. 147-156, 2024.
[20]
A. S. Gnaneswaran, "Comparative Study of the Role of Digital Technologies in Implementing Circular Economy Practices in Product-Service Systems (PSS) : An Analysis Across Varying Organizational Scales," , 2024.
[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, s. 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, s. 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 och M. Wiktorsson, "Integrating Smart Production Logisticswith Network Diagrams: A Frameworkfor Data Visualization," i Proceedings of the 11th Swedish Production Symposium, 2024, s. 601-612.
[26]
F. M. Monetti och A. Maffei, "Towards the definition of assembly-oriented modular product architectures: a systematic review," Research in Engineering Design, vol. 35, no. 2, s. 137-169, 2024.
[27]
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, s. 411-421, 2024.
[28]
A. Aristeidou, "Development of a Business Model Framework for Collaborative Model-Based Engineering," , 2024.
[29]
D. Bernabeu Fernandez De Liencres, "Machine Learning Demand Forecast for Demand Sensing and Shaping : Combine the existing work done with demand sensing and shaping to achieve a higher customer service level, customer experience and balancing inventory," , 2024.
[30]
F. Lupi, A. Maffei och M. Lanzetta, "CAD-based Autonomous Vision Inspection Systems," i 5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023, 2024, s. 2127-2136.
[31]
S. Kokare et al., "Life Cycle Assessment of a Jet Printing and Dispensing Machine," i 5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023, 2024, s. 708-718.
[32]
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.
[33]
B. Samaan och E. Thunell, "Livscykelanalys av en eldriven båtmotor," , 2024.
[34]
C. Liljencrantz och F. Pettersson, "Konceptframtagning av ett par OTG-goggles," , 2024.
[35]
T. Svendsen, "Syrgasflaskan LIFT," , 2024.
[36]
V. Einarsson, "Advanced forming and welding with seam tracking : effective manufacturing of light weight girderswith corrugated webs," , 2024.
[37]
A. Arvidsson, "CFD-analys med OpenFOAM som konstruktionsverktyg för utvärdering av tidiga iterationer av gasväxlingskomponenter," , 2024.
[38]
S. Tawfiq, "Optimering av en undervattens rengöringsrobot med avseende på viktminskning," , 2024.
[39]
S. Amir et al., "Toward a Circular Economy: A Guiding Framework for Circular Supply Chain Implementation," i Springer Series in Supply Chain Management, : Springer Nature, 2024, s. 379-404.
[40]
S. Wei et al., "An improved memetic algorithm for multi-objective resource-constrained flexible job shop inverse scheduling problem : An application for machining workshop," Journal of manufacturing systems, vol. 74, s. 264-290, 2024.
[41]
Y. Wang et al., "Research on Pharmaceutical Supply Chain Decision-Making Model Considering Output and Demand Fluctuations," IEEE Access, vol. 12, s. 61629-61641, 2024.
[42]
B. Wang et al., "Towards the industry 5.0 frontier: Review and prospect of XR in product assembly," Journal of manufacturing systems, vol. 74, s. 777-811, 2024.
[43]
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, s. 1390-1408, 2024.
[44]
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, s. 349-363, 2024.
[45]
D. Antonelli et al., "Exploring the limitations and potential of digital twins for mobile manipulators in industry," i 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2024, s. 1121-1130.
[46]
S. Linderson, S. E. Birkie och M. Bellgran, "The Issue of Corporate Mandatory Standards in Production Improvement Programmes," Journal of Industrial Engineering and Management, vol. 17, no. 2, s. 385-402, 2024.
[47]
J. Persson och J. Raij Montanari, "Förbättrat glidskikt till hjälmar," , 2024.
[48]
G. Aho, "Simulering och optimering av produktionslinje," , 2024.
[49]
E. Boffa och A. Maffei, "Investigating the impact of digital transformation on manufacturers’ Business model: Insights from Swedish industry," Journal of Open Innovation: Technology, Market, and Complexity, vol. 10, no. 2, 2024.
[50]
F. M. Monetti, P. Z. Martínez och A. Maffei, "Assessing sustainable recyclability of battery systems: a tool to aid design for disassembly," i Proceedings of the Design Society, Design 2024, 2024, s. 1389-1398.
Fullständig lista i KTH:s publikationsportal