Optimized Digital Twin Networks
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66271-3_2
Reference36 articles.
1. Agrawal, A., Thiel, R., Jain, P., Singh, V., Fischer, M.: Digital Twin: where do humans fit in? Autom. Constr. 148, 104749 (2023)
2. Hribernik, K., Cabri, G., Mandreoli, F., Mentzas, G.: Autonomous, context-aware, adaptive Digital Twins—State of the art and roadmap. Comput. Ind. 133, 103508 (2021)
3. Parasuraman, R., Sheridan, T.B., Wickens, C.D.: A model for types and levels of human interaction with automation. IEEE Trans. Syst. Man Cybern. Syst. Hum. 30(3), 286–297 (2000). https://doi.org/10.1109/3468.844354
4. Tsarouchi, P., Makris, S., Chryssolouris, G.: Human–robot interaction review and challenges on task planning and programming. Int. J. Comput. Integr. Manuf. 29(8), 916–931 (2016)
5. Glaessgen, E., Stargel, D.: The digital twin paradigm for future NASA and U.S. air Force vehicles. In: 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, 20th AIAA/ASME/AHS Adaptive Structures Conference, 14th AIAA, American Institute of Aeronautics and Astronautics, Honolulu, Hawaii, USA, p. 1818 (2012)
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