The visual-based robotic language for industry 4.0 applications: Robotic U Language
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-023-02713-w.pdf
Reference22 articles.
1. Muhuri, P.K., Shukla, A.K., Abraham, A.: Industry 4.0: a bibliometric analysis and detailed overview. Eng. Appl. Artif. Intell. 78, 218–235 (2019)
2. Ottoni, A., Novo, M., Costa, D.: Deep learning for vision systems in construction 4.0: a systematic review. Signal Image Video Process. 17, 1821–1829 (2023). https://doi.org/10.1007/s11760-022-02393-y
3. Antonino, P.O., Capilla, R., Pelliccione, P., Schnicke, F., Espen, D., Kuhn, T., Schmid, K.: A Quality 4.0 Model for architecting industry 4.0 systems. Adv. Eng. Inf. 54, 101801 (2022)
4. Jan, Z., Ahamed, F., Mayer, W., Patel, N., Grossmann, G., Stumptner, M., Kuusk, A.: Artificial intelligence for industry 4.0: systematic review of applications, challenges, and opportunities. Exp. Syst. Appl. 216, 119456 (2023)
5. Cao, Q., Zanni-Merk, C., Samet, A., Reich, C., et al.: KSPMI: a knowledge-based system for predictive maintenance in industry 4.0. Robot. Comput. Integr. Manuf. 74, 102281 (2022)
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