Publikationer
Här visas de senaste publikationerna från institutionen för Produktionsutveckling.
50 senaste publikationer i alla kategorier.
[1]
D. Lombardi et al.,
"Socratic AI : Rethinking Inclusion Through Dialogic Intelligence,"
i Higher Education Learning Methodologies and Technologies Online - 7th International Conference, HELMeTO 2025, Revised Selected Papers, 2027, s. 227-245.
[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]
R. Zhong et al.,
"A two-stage framework for learning human-to-robot object handover policy from 4D spatiotemporal flow,"
Robotics and Computer-Integrated Manufacturing, vol. 98, 2026.
[6]
Q. Qin et al.,
"Robot digital twin systems in manufacturing : Technologies, applications, trends and challenges,"
Robotics and Computer-Integrated Manufacturing, vol. 97, 2026.
[7]
B. Göbl, J. Baalsrud Hauge och H. Duin,
"Integrating Participatory Design and Reuse in Serious Game Development,"
i Games and Learning Alliance - 14th International Conference, GALA 2025, Proceedings, 2026, s. 459-464.
[8]
D. Spensieri et al.,
"Automatic planning and optimization of a laser radar inspection system,"
International journal of computer integrated manufacturing (Print), vol. 39, no. 2, s. 303-317, 2026.
[9]
G. Yuan et al.,
"Large language models in human-robot collaboration : A systematic review, trends, and challenges,"
Journal of manufacturing systems, vol. 85, s. 249-268, 2026.
[10]
E. Flores-García et al.,
"AI-enabled vision systems for human-centered order picking – A design science research approach,"
International Journal of Production Research, vol. 64, no. 5, s. 1785-1812, 2026.
[11]
S. Wiesner, J. Baalsrud Hauge och K. D. Thoben,
"Enabling Circular Business Models and Digital Transformation for Sustainable Value Creation in European Manufacturing SMEs,"
i Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings, 2026, s. 550-564.
[12]
J. Baalsrud Hauge och I. A. Stefan,
"The Contribution of Cybersecurity for Improving the Resilience of Supply Chains – The Need of Employee Training,"
i Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings, 2026, s. 246-262.
[13]
K. Cho et al.,
"Graph Attention Network Based Deep Reinforcement Learning Approach for Dynamic Human Order Picking,"
i Advances in Production Management Systems. : Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings, Part I, 2026, s. 450-465.
[14]
S. E. Birkie, Z. Chavez och R. Laurenti,
"Green Design Methodology in Production Equipment Design and Acquisition: State of Practice and Way Forward,"
i Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings, 2026, s. 566-579.
[15]
Y. Jeong, C. Kober och M. Fette,
"Integrating Large Language Models and Digital Twins in Manufacturing : Opportunities and Challenges for Production Logistics and Assembly Environments,"
i Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings, 2026, s. 528-542.
[16]
S. Li et al.,
"Physics-informed embodied intelligence in the foundation model era: Advancing robot manipulation for smart manufacturing,"
Advanced Engineering Informatics, vol. 71, 2026.
[17]
J. Baalsrud Hauge, J. Baalsrud Hauge och M. Kalverkamp,
"Reflections on the Usage of a Commercial-Off-The-Shelf Game in Teaching Logistics,"
i Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings, 2026, s. 217-232.
[18]
J. Leng et al.,
"Physics-informed machine learning in intelligent manufacturing : a review,"
Journal of Intelligent Manufacturing, vol. 37, no. 6, s. 2215-2257, 2026.
[19]
A. Pacini et al.,
"Digital thread in fixture design : leveraging model-based definition for seamless information flow,"
International journal of computer integrated manufacturing (Print), vol. 39, no. 10, s. 1505-1534, 2026.
[20]
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.
[21]
Y. Qin et al.,
"A tool wear monitoring method based on data-driven and physical output,"
Robotics and Computer-Integrated Manufacturing, vol. 91, 2025.
[22]
S. Das et al.,
"Towards gamification for spatial digital learning environments,"
Entertainment Computing, vol. 52, 2025.
[23]
[24]
[25]
Q. Liu et al.,
"A method for remaining useful life prediction of milling cutter using multi-scale spatial data feature visualization and domain separation prediction network,"
Mechanical systems and signal processing, vol. 225, 2025.
[26]
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.
[27]
Z. Wang et al.,
"Energy consumption modeling based on operation mechanisms of industrial robots,"
Robotics and Computer-Integrated Manufacturing, vol. 94, 2025.
[28]
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, s. 399-420, 2025.
[29]
M. Gonzalez, M. J. Coll-Araoz och A. Archenti,
"Enhancing reliability in advanced manufacturing systems : A methodology for the assessment of detection and monitoring techniques,"
Journal of manufacturing systems, vol. 79, s. 318-333, 2025.
[30]
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.
[31]
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, s. 528-562, 2025.
[32]
Z. Wang et al.,
"Industrial Robots Energy Consumption Modeling, Identification and Optimization Through Time-Scaling,"
IEEE Transactions on robotics, vol. 41, s. 1456-1475, 2025.
[33]
B. Ganesh et al.,
"Towards a Circular Solution for Healthcare Plastic Waste : Understanding the Legal, Operational, and Technological Landscape,"
Recycling, vol. 10, no. 1, 2025.
[34]
[35]
[36]
[37]
X. Deng, Z. Wang och Y. Wang,
"Practical Research on Intelligent Upgrading Management of Building Steel Structure Manufacturing Factory,"
i Proceedings of the 14th International Conference on Logistics and Systems Engineering, 2025, s. 268-278.
[38]
T. Wang et al.,
"A design framework for high-fidelity human-centric digital twin of collaborative work cell in Industry 5.0,"
Journal of manufacturing systems, vol. 80, s. 140-156, 2025.
[39]
[40]
[41]
P. Dunaj et al.,
"Stiffness-controlled lathe spindle for varying operating conditions,"
The International Journal of Advanced Manufacturing Technology, vol. 137, no. 9-10, s. 4521-4535, 2025.
[42]
J. Byström och M. M. Sharifi,
"Optimering av inbound-processen hos DeLavals fabrik i Tumba,"
, 2025.
[43]
M. K. Gonzalez Bassante,
"On the Accuracy of Articulated Robots : A Comprehensive Approach to Evaluate and Improve Robot Accuracy for Contact Applications,"
Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-ITM-AVL, 2025:6, 2025.
[44]
[45]
[46]
R. Kalaiarasan,
"Visibility in Manufacturing Supply Chains: Conceptualisation, Realisation and Implications,"
Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-ITM-AVL, 2025:12, 2025.
[47]
K. Käll och K. Rahmani,
"LCA-aspekter vid verktygsrekommendationer : Utveckling av stöd för val av verktyg och skärdata,"
, 2025.
[48]
W. Farzad och N. Malakar,
"Predicting Quality of Surface Roughness and Tool Wear by Different Signals and Regression Algorithms,"
, 2025.
[49]
[50]
K. Yang et al.,
"A multi-level multi-domain digital twin modeling method for industrial robots,"
Robotics and Computer-Integrated Manufacturing, vol. 95, 2025.