Journal Articles

[A7] Alessandro Iop, Victor Gabriel El-Hajj, Maria Gharios, Andrea de Giorgio, Fabio Marco Monetti, Erik Edström, Adrian Elmi-Terander, Mario Romero, Extended Reality in Neurosurgical Education: A Systematic Review, Sensors, 22(16), 6067, 2022. DOI: 10.3390/s22166067.
Indexed on: ResearchGate, Google Scholar.
"Sensors" Impact Factor (2020): 3.576.

[A6] Marcelo Luis Ruiz Rodríguez, Sylvain Kubler, Andrea de Giorgio, Maxime Cordy, Jérémy Robert, Yves Le Traon, Multi-agent deep reinforcement learning based Predictive Maintenance on parallel machines, Robotics and Computer-Integrated Manufacturing, vol. 78, p. 102406, 2022. DOI: 10.1016/j.rcim.2022.102406.
Indexed on: ResearchGate, Google Scholar.
"Robotics and Computer-Integrated Manufacturing" Impact Factor (2021): 10.103.

[A5] Andrea de Giorgio, Stefania Cacace, Antonio Maffei, Fabio Marco Monetti, Malvina Mauro Onori, Lihui Wang, Assessing the influence of expert video aid on assembly learning curves, Journal of Manufacturing Systems, vol. 62, pp. 263-269, 2021. DOI: 10.1016/j.jmsy.2021.11.019.
Indexed on: ResearchGate, Google Scholar, Publons.
Metrics: PlumX Metrics, Altmetric.
"Journal of Manufacturing System" Impact Factor (2021): 8.633.

[A4] Andrea de Giorgio, Malvina Roci, Antonio Maffei, Milan Jocevski, Mauro Onori, Lihui Wang, Measuring the effect of automatically authored video aid on assembly time for procedural knowledge transfer among operators in adaptive assembly stations, International Journal of Production Research, 2021. DOI: 10.1080/00207543.2021.1970850.
Indexed on: ResearchGate, Google Scholar, Web of Science, Publons.
Metrics: PlumX Metrics, Altmetric.
"International Journal of Production Research" Impact Factor (2020): 8.568.

[A3] Andrea de Giorgio, Antonio Maffei, Mauro Onori, Lihui Wang, Towards online reinforced learning of assembly sequence planning with interactive guidance systems for industry 4.0 adaptive manufacturing, Journal of Manufacturing Systems, vol. 60, pp. 22-34, 2021. DOI: 10.1016/j.jmsy.2021.05.001.
Indexed on: ResearchGate, Google Scholar, Web of Science, Publons, Zenodo.
Metrics: PlumX Metrics, Altmetric, Dimensions.
"Journal of Manufacturing System" Impact Factor (2019): 5.105.

[A2] Andrea de Giorgio, Lihui Wang, Artificial Intelligence Control in 4D Cylindrical Space for Industrial Robotic Applications, IEEE Access, vol. 8, pp. 174833-174844, 2020. DOI: 10.1109/ACCESS.2020.3026193.
Indexed on: ResearchGate, Mendeley, Google Scholar, Web of Science, Zenodo, Papers with Code, Publons.
Metrics: PlumX Metrics, Altmetric.
Additional resources: Matlab and RAPID code on GitHub, ResearchGate, Zenodo.
Journal "IEEE Access" Impact Factor (2020): 3.745.

[A1] Francesco Donnarumma, Roberto Prevete, Andrea de Giorgio, Guglielmo Montone, Giovanni Pezzulo, Learning programs is better than learning dynamics: A programmable neural network hierarchical architecture in a multi-task scenario, Adaptive Behavior 24, no. 1: 27-51, 2016. DOI: 10.1177/1059712315609412.
Indexed on: ResearchGate, Mendeley, Google Scholar, Scopus, Web of Science, Zenodo, Publons.
Metrics: PlumX Metrics, Scopus Metrics, Altmetric, Dimensions.
Journal "Adaptive Behavior" Impact Factor (2016): 1.019.

Conference Papers

[C5] Fabio Marco Monetti, Eleonora Boffa, Andrea de Giorgio, Antonio Maffei, The Impact of Learning Factories on Teaching Lean Principles in an Assembly Environment, (in publication). DOI: N/A.
Indexed on: ResearchGate, Google Scholar.

[C4] Fabio Marco Monetti, Andrea de Giorgio, Antonio Maffei, Industrial transformation and assembly technology: context and research trends, Procedia CIRP 107 (2022): 1427-1432. DOI: 10.1016/j.procir.2022.05.169.
Indexed on: ResearchGate, Google Scholar.

[C3] Fabio Marco Monetti, Andrea de Giorgio, Haisheng Yu, Antonio Maffei, Mario Romero, An experimental study of the impact of virtual reality training on manufacturing operators on industrial robotic tasks, Procedia CIRP 106 (2022): 33-38. DOI: 10.1016/j.procir.2022.02.151.
Indexed on: ResearchGate, Google Scholar.

[C2] Andrea de Giorgio, Magnus Lundgren, Lihui Wang, Procedural knowledge and function blocks for smart process planning, Procedia Manufacturing 48 (2020): 1079-1087. DOI: 10.1016/j.promfg.2020.05.148.
Indexed on: ResearchGate, Mendeley, Google Scholar, Scopus, Zenodo, Publons.
Metrics: PlumX Metrics, Scopus Metrics, Altmetric.

[C1] Andrea de Giorgio, Mario Romero, Mauro Onori, Lihui Wang, Human-machine Collaboration in Virtual Reality for Adaptive Production Engineering, Procedia Manufacturing, Volume 11, 2017, Pages 1279-1287, ISSN 2351-9789. Keywords: Virtual Reality; Augmented Reality; Unity Game Engine; Human-Robot Collaboration; Industry 4.0; Robotics; Adaptive Production. DOI: 10.1016/j.promfg.2017.07.255.
Indexed on: ResearchGate, Mendeley, Google Scholar, Scopus, Web of Science, Zenodo, Publons.
Metrics: PlumX Metrics, Scopus Metrics, Altmetric, Dimensions.

Theses

[T3] Andrea de Giorgio, Introducing a procedural knowledge model for enhancing industrial process adaptiveness, 2021, KTH, Royal Institute of Technology. DOI: 10.13140/RG.2.2.20678.60485.
Indexed on: ResearchGate, Google Scholar, Publons.
Metrics: none.

[T2] Andrea de Giorgio, A study on the similarities of Deep Belief Networks and Stacked Autoencoders, 2015, KTH, Royal Institute of Technology. DOI: 10.13140/RG.2.1.3502.8883.
Indexed on: ResearchGate, Mendeley, Google Scholar, Zenodo, Publons.
Metrics: PlumX Metrics.

[T1] Andrea de Giorgio, Apprendimento e Codifica Neurale di Comportamenti Multipli, 2013, Università degli Studi di Napoli Federico II. DOI: 10.13140/RG.2.1.1348.2720.
Indexed on: ResearchGate, Mendeley, Google Scholar, Zenodo, Publons.
Metrics: PlumX Metrics.

Reports

[R2] Andrea de Giorgio, Deliverable 3.2: Safety at all times system, 2018, EU project COROMA (Cognitively enhanced robot for flexible manufacturing of metal and composite parts).

[R1] Andrea de Giorgio, Deliverable 2.2: Energy efficient robot trajectory planning, 2016, EU project SYMBIO-TIC (Symbiotic Human Robot Collaborative Assembly: Technologies, Innovations and Competitiveness).