[A7] Alessandro Iop, Victor Gabriel El-Hajj, Maria Gharios, Andrea de Giorgio, Fabio Marco Monetti, Erik Edström, Adrian Elmi-Terander, Mario Romero. Journal article (2022): 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. Journal article (2022): 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. Journal article (2021): 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. Journal article (2021): 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. Journal article (2021): 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. Journal article (2020): 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. Journal article (2016): 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.
[C5] Fabio Marco Monetti, Eleonora Boffa, Andrea de Giorgio, Antonio Maffei. Conference paper (2023): The Impact of Learning Factories on Teaching Lean Principles in an Assembly Environment. In International Conference on Flexible Automation and Intelligent Manufacturing, pp. 271-283. Springer, Cham, 2023. DOI: 10.1007/978-3-031-18326-3_27.
Indexed on: ResearchGate, Google Scholar.
[C4] Fabio Marco Monetti, Andrea de Giorgio, Antonio Maffei. Conference paper (2022): 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. Conference paper (2022): 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. Conference paper (2020): 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. Conference paper (2017): 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.
[T3] Andrea de Giorgio. Thesis (2021): 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. Thesis (2015): 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. Thesis (2013): 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.
[R3] Wei Ji, Hongyi Liu, Lihui Wang, Andrea de Giorgio. Technical report (2018): Deliverable 3.4: Minimum programming interface tool. EU project COROMA (Cognitively enhanced robot for flexible manufacturing of metal and composite parts).
[R2] Andrea de Giorgio, Hongyi Liu, Yuquan Wang, Lihui Wang. Technical report (2018): Deliverable 3.2: Safety at all times system. EU project COROMA (Cognitively enhanced robot for flexible manufacturing of metal and composite parts).
[R1] Andrea de Giorgio, Lihui Wang, Abdullah Mohammed. Technical report (2016): Deliverable 2.2: Energy efficient robot trajectory planning. EU project SYMBIO-TIC (Symbiotic Human Robot Collaborative Assembly: Technologies, Innovations and Competitiveness).