**6. Conclusions**

The presented research is still in the experimental phase, the final step being a fully automated processing technology, allowing the recovery by reprocessing of a given volume of pieces. By using SIMATIC STEP 7, Visual C ++ platforms and MATLAB, real-time control structures have been implemented, allowing automatic processing/reprocessing, assisted by the CAS, ARS equipped with RM, and MVS. Compared to [4], where two autonomous robotic systems and two type visual servoing systems (eye to hand and eye in hand) have been used, in this paper only one CAS, with one type of MVS (eye in hand), assists P/RML. As a result, the reliability, flexibility, and robustness of the technology have been increased due to the uncertainties that might come from the sensors fails, environment conditions, disturbances in data transfer and communications. Although this is a technology that has been used at the level of a laboratory, it can be extended further to real industry, where

high accuracy and positioning are needed. In the future, this technology is expected to be improved to be able to satisfy the standards of the Industry 4.0. Through this perspective, the presented manufacturing technology has a dual purpose, one educational and the other to be as close as possible to the real industrial world. The educational goal aims to familiarize the system designer with everything that defines: Industry 4.0, concepts, design, Cloud and IoT communication, real-time monitoring and control. Therefore, we try to improve the presented technology by the integration of the state of the art in the field of Industry 4.0, including smart manufacturing, SCADA systems, tasks communication and synchronization, sensors data fusion, and high precision actuators.

**Author Contributions:** Conceptualization, G.S., A.F. (Adrian Filipescu), D.I., R.S, ., D.C., E.M. and A.F. (Adriana Filipescu); methodology G.S., A.F. (Adrian Filipescu), D.I., D.C., R.S, . and E.M.; software, G.S. and D.I.; validation, A.F. (Adriana Filipescu), R.S, ., D.C. and E.M.; formal analysis, G.S., D.I. and A.F. (Adrian Filipescu); writing—original draft preparation, G.S., A.F. (Adrian Filipescu) and D.I.; writing review and editing, A.F. (Adrian Filipescu), R.S, . and D.C.; supervision, A.F. (Adrian Filipescu); project administration, A.F. (Adrian Filipescu); funding acquisition, A.F. (Adrian Filipescu), G.S. and D.I. All authors have read and agreed to the published version of the manuscript.

**Funding:** This article (APC) will be supported by Doctoral School of Fundamental Sciences and Engineering, "Dunărea de Jos" University of Galati.

**Institutional Review Board Statement:** Not applicable.

**Informed Consent Statement:** Not applicable.

**Data Availability Statement:** Data availability is not applicable to this article as the study did not report any data.

**Acknowledgments:** The results of this work were presented to the 10th edition of the Scientific Conference organized by the Doctoral Schools of "Dunarea de Jos" University of Galati (SCDS-UDJG) http://www.cssd-udjg.ugal.ro/, (accessed on 15 March 2022), that was held on 9th and 10th of June 2022, in Galati, Romania.

**Conflicts of Interest:** The authors declare no conflict of interest.

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