News
Best Paper Award at the 6th International Conference on Quality Engineering and Management
The paper "Enhancing manufacturing quality through gamification: an exploratory study in collaborative assembly process 
(8.55 MB)" won the Best Paper Award at the sixth edition of the International Conference on Quality Engineering and Management.
Quality Engineering and Management Group at the 6th International Conference on Quality Engineering and Management
From June 13 to 14, 2024, a delegation from the Quality Engineering and Management group participated in the 6th International Conference on Quality Engineering and Management held in Girona, Spain.
Assembly complexity and physiological response in human-robot collaboration: Insights from a preliminary experimental analysis
SEE OUR PUBLICATION: Capponi, M., Gervasi, R., Mastrogiacomo, L., Franceschini, F.: Assembly complexity and physiological response in human-robot collaboration: Insights from a preliminary experimental analysis (8.56 MB). Robotics and Computer-Integrated Manufacturing. 89, 102789 (2024). https://doi.org/10.1016/j.rcim.2024.102789
Assessing perceived assembly complexity in human-robot collaboration processes: a proposal based on Thurstone’s law of comparative judgement
SEE OUR PUBLICATION: Capponi, M., Gervasi, R., Mastrogiacomo, L., & Franceschini, F. (2024). Assessing perceived assembly complexity in human-robot collaboration processes: a proposal based on Thurstone’s law of comparative judgement. (4.31 MB). International Journal of Production Research, 62(14), 5315–5335. https://doi.org/10.1080/00207543.2023.2291519
Optimisation of laser welding of deep drawing steel for automotive applications by Machine Learning: A comparison of different techniques
SEE OUR PUBLICAITON: Maculotti G., Genta G., Galetto M. Optimisation of laser welding of deep drawing steel for automotive applications by Machine Learning: A comparison of different techniques (1.47 MB). Quality and Reliability Engineering International 40,202-219 http://doi.org/10.1002/qre.3377
Comprehensive mechanical and tribological characterization of metal-polymer PTFE+Pb/Bronze coating by in-situ electrical contact resistance measurement augmented tribo-mechanical tests
SEE OUR PUBLICATION: Maculotti G., Goti E., Genta G., Mazza L., Galetto M. Comprehensive mechanical and tribological characterization of metal-polymer PTFE+Pb/Bronze coating by in-situ electrical contact resistance measurement augmented tribo-mechanical tests FILE (10.32 MB). Tribology International (2024) 193,109397 https://doi.org/10.1016/j.triboint.2024.109397
A human-centered perspective in repetitive assembly processes: preliminary investigation of cognitive support of collaborative robots
SEE OUR PUBLICATION: Gervasi R., Capponi M., Antonelli D., Mastrogiacomo L., Franceschini F., A human-centered perspective in repetitive assembly processes: preliminary investigation of cognitive support of collaborative robots (1.60 MB). Procedia Computer Science (2024) 232, 2249-2258 https://doi.org/10.1016/j.procs.2024.02.044
Advancing Human-Robot Collaboration: proposal of a methodology for the design of Symbiotic Assembly Workstations
SEE OUR PUBLICATION: Barravecchia F., Bartolomei M., Mastrogiacomo L., Franceschini F. . Advancing Human-Robot Collaboration: proposal of a methodology for the design of Symbiotic Assembly Workstations (1.40 MB). Procedia Computer Science (2024) 232,3141-3150 https://doi.org/10.1016/j.procs.2024.02.130
Fatigue strength estimation of net-shape L-PBF Co–Cr–Mo alloy via non-destructive surface measurements
SEE OUR PUBLICATION: Romano S., Peradotto E., Beretta S., Ugues D., Barricelli L., Maculotti G., Patriarca L., Genta G., Fatigue strength estimation of net-shape L-PBF Co–Cr–Mo alloy via non-destructive surface measurements (5.05 MB), International Journal of Fatigue (2024) 178:108018. DOI: https://doi.org/10.1016/j.ijfatigue.2023.108018
An uncertainty-based quality evaluation tool for nanoindentation systems
SEE OUR PUBLICATION: Maculotti G., Genta G., Galetto M., An uncertainty-based quality evaluation tool for nanoindentation systems (5.16 MB) (2024) 225:113974. DOI: https://doi.org/10.1016/j.measurement.2023.113974