{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T16:20:51Z","timestamp":1774282851471,"version":"3.50.1"},"reference-count":49,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2022,10,25]],"date-time":"2022-10-25T00:00:00Z","timestamp":1666656000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"\u201cDun\u0103rea de Jos\u201d University of Galati"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>A digital twin for a multifunctional technology for flexible manufacturing on an assembly, disassembly, and repair mechatronics line (A\/D\/RML), assisted by a complex autonomous system (CAS), is presented in the paper. The hardware architecture consists of the A\/D\/RML and a six-workstation (WS) mechatronics line (ML) connected to a flexible cell (FC) and equipped with a six-degree of freedom (DOF) industrial robotic manipulator (IRM). The CAS has in its structure two driving wheels and one free wheel (2DW\/1FW)-wheeled mobile robot (WMR) equipped with a 7-DOF robotic manipulator (RM). On the end effector of the RM, a mobile visual servoing system (eye-in-hand MVSS) is mounted. The multifunctionality is provided by the three actions, assembly, disassembly, and repair, while the flexibility is due to the assembly of different products. After disassembly or repair, CAS picks up the disassembled components and transports them to the appropriate storage depots for reuse. Disassembling or repairing starts after assembling, and the final assembled product fails the quality test. The virtual world that serves as the digital counterpart consists of tasks assignment, planning and synchronization of A\/D\/RML with integrated robotic systems, IRM, and CAS. Additionally, the virtual world includes hybrid modeling with synchronized hybrid Petri nets (SHPN), simulation of the SHPN models, modeling of the MVSS, and simulation of the trajectory-tracking sliding-mode control (TTSMC) of the CAS. The real world, as counterpart of the digital twin, consists of communication, synchronization, and control of A\/D\/RML and CAS. In addition, the real world includes control of the MVSS, the inverse kinematic control (IKC) of the RM and graphic user interface (GUI) for monitoring and real-time control of the whole system. The \u201cDigital twin\u201d approach has been designed to meet all the requirements and attributes of Industry 4.0 and beyond towards Industry 5.0, the target being a closer collaboration between the human operator and the production line.<\/jats:p>","DOI":"10.3390\/s22218153","type":"journal-article","created":{"date-parts":[[2022,10,26]],"date-time":"2022-10-26T07:17:48Z","timestamp":1666768668000},"page":"8153","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Digital Twin for a Multifunctional Technology of Flexible Assembly on a Mechatronics Line with Integrated Robotic Systems and Mobile Visual Sensor\u2014Challenges towards Industry 5.0"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1780-8535","authenticated-orcid":false,"given":"Eugenia","family":"Minc\u0103","sequence":"first","affiliation":[{"name":"Department of Automation, Computer Science and Electrical Engineering, \u201cValahia\u201d University of T\u00e2rgovi\u0219te, 130024 T\u00e2rgovi\u0219te, Romania"},{"name":"School of Fundamental Sciences and Engineering, \u201cDun\u0103rea de Jos\u201d University of Gala\u021bi, 800008 Gala\u021bi, Romania"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1225-2243","authenticated-orcid":false,"given":"Adrian","family":"Filipescu","sequence":"additional","affiliation":[{"name":"School of Fundamental Sciences and Engineering, \u201cDun\u0103rea de Jos\u201d University of Gala\u021bi, 800008 Gala\u021bi, Romania"},{"name":"Department of Automation and Electrical Engineering, \u201cDun\u0103rea de Jos\u201d University of Gala\u021bi, 800008 Gala\u021bi, Romania"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0653-4391","authenticated-orcid":false,"given":"Daniela","family":"Cernega","sequence":"additional","affiliation":[{"name":"Department of Automation and Electrical Engineering, \u201cDun\u0103rea de Jos\u201d University of Gala\u021bi, 800008 Gala\u021bi, Romania"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2343-2370","authenticated-orcid":false,"given":"R\u0103zvan","family":"\u0218olea","sequence":"additional","affiliation":[{"name":"Department of Automation and Electrical Engineering, \u201cDun\u0103rea de Jos\u201d University of Gala\u021bi, 800008 Gala\u021bi, Romania"}]},{"given":"Adriana","family":"Filipescu","sequence":"additional","affiliation":[{"name":"Department of Automation and Electrical Engineering, \u201cDun\u0103rea de Jos\u201d University of Gala\u021bi, 800008 Gala\u021bi, Romania"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3007-3601","authenticated-orcid":false,"given":"Dan","family":"Ionescu","sequence":"additional","affiliation":[{"name":"School of Fundamental Sciences and Engineering, \u201cDun\u0103rea de Jos\u201d University of Gala\u021bi, 800008 Gala\u021bi, Romania"},{"name":"Department of Automation and Electrical Engineering, \u201cDun\u0103rea de Jos\u201d University of Gala\u021bi, 800008 Gala\u021bi, Romania"}]},{"given":"Georgian","family":"Simion","sequence":"additional","affiliation":[{"name":"School of Fundamental Sciences and Engineering, \u201cDun\u0103rea de Jos\u201d University of Gala\u021bi, 800008 Gala\u021bi, Romania"},{"name":"Department of Automation and Electrical Engineering, \u201cDun\u0103rea de Jos\u201d University of Gala\u021bi, 800008 Gala\u021bi, Romania"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Guiras, Z., Turki, S., Rezg, N., and Dolgui, A. (2018). Optimization of Two-Level Disassembly\/Remanufacturing\/Assembly System with an Integrated Maintenance Strategy. Appl. Sci., 8.","DOI":"10.3390\/app8050666"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Filipescu, A., Ionescu, D., Filipescu, A., Minc\u0103, E., and Simion, G. (2021). Multifunctional Technology of Flexible Manufacturing on a Mechatronics Line with IRM and CAS, Ready for Industry 4.0. Processes, 9.","DOI":"10.3390\/pr9050864"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Ionescu, D., Filipescu, A., Simion, G., Minc\u0103, E., Cernega, D., \u0218olea, R., and Filipescu, A. (2022). Communication and Control of an Assembly, Disassembly and Repair Flexible Manufacturing Technology on a Mechatronics Line Assisted by an Autonomous Robotic System. Inventions, 7.","DOI":"10.3390\/inventions7020043"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Segovia, M., and Garcia-Alfaro, J. (2022). Design, Modeling and Implementation of Digital Twins. Sensors, 22.","DOI":"10.3390\/s22145396"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Moiceanu, G., and Paraschiv, G. (2022). Digital Twin and Smart Manufacturing in Industries: A Bibliometric Analysis with a Focus on Industry 4.0. Sensors, 22.","DOI":"10.3390\/s22041388"},{"key":"ref_6","unstructured":"Chryssolouris, G. (2005). Manufacturing Systems\u2014Theory and Practice, Springer."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Tolio, T. (2009). Design of Flexible Production Systems\u2014Methodologies and Tools, Springer.","DOI":"10.1007\/978-3-540-85414-2"},{"key":"ref_8","unstructured":"Filipescu, A. (2017). Contributions to Electric Drive of the Flexible Manufacturing Lines and Integrated Robots. [Ph.D. Thesis, University of Galati]."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Carlos-Mancilla, M.A., Luque-Vega, L.F., Guerrero-Osuna, H.A., Ornelas-Vargas, G., Aguilar-Molina, Y., and Gonz\u00e1lez-Jim\u00e9nez, L.E. (2021). Educational Mechatronics and Internet of Things: A Case Study on Dynamic Systems Using MEIoT Weather Station. Sensors, 21.","DOI":"10.3390\/s21010181"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Florescu, A., and Barabas, S.A. (2020). Modeling and Simulation of a Flexible Manufacturing System\u2014A Basic Component of Industry 4.0. Appl. Sci., 10.","DOI":"10.3390\/app10228300"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Berriche, A., Mhenni, F., Mlika, A., and Choley, J.-Y. (2020). Towards Model Synchronization for Consistency Management of Mechatronic Systems. Appl. Sci., 10.","DOI":"10.3390\/app10103577"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.conengprac.2014.06.005","article-title":"Modelling and control of an assembly\/disassembly mechatronics line served by mobile robot with manipulator","volume":"31","author":"Minca","year":"2014","journal-title":"Control Eng. Pract."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"9223","DOI":"10.3182\/20140824-6-ZA-1003.00556","article-title":"Simulated Hybrid Model of an Autonomous Robotic System Integrated into Assembly\/Disassembly Mechatronics Line","volume":"47","author":"Filipescu","year":"2014","journal-title":"IFAC Proc. Vol."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Dragomir, F., Minc\u0103, E., Dragomir, O.E., and Filipescu, A. (2019). Modelling and Control of Mechatronics Lines Served by Complex Autonomous Systems. Sensors, 19.","DOI":"10.3390\/s19153266"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Filipescu, A., Minc\u0103, E., Filipescu, A., and Coand\u0103, H.-G. (2020). Manufacturing Technology on a Mechatronics Line Assisted by Autonomous Robotic Systems, Robotic Manipulators and Visual Servoing Systems. Actuators, 9.","DOI":"10.3390\/act9040127"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Filipescu, A., Minca, E., and Filipescu, A. (2019, January 18\u201320). Mechatronics Manufacturing Line with Integrated Autonomous Robots and Visual Servoing Systems. Proceedings of the 9th IEEE International Conference on Cybernetics and Intelligent Systems, and Robotics, Automation and Mechatronics (CIS-RAM 2019), Bangkok, Thailand.","DOI":"10.1109\/CIS-RAM47153.2019.9095848"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Minca, E., Filipescu, A., Coanda, H.G., Dragomir, F., Dragomir, O.E., and Filipescu, A. (2018, January 10\u201312). Extended Approach for Modeling and Simulation of Mechatronics Lines Served by Collaborative Mobile Robots. Proceedings of the 22nd International Conference on System Theory, Control and Computing (ICSTCC), Sinaia, Romania.","DOI":"10.1109\/ICSTCC.2018.8540713"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Martinez, E.M., Ponce, P., Macias, I., and Molina, A. (2021). Automation Pyramid as Constructor for a Complete Digital Twin, Case Study: A Didactic Manufacturing System. Sensors, 21.","DOI":"10.3390\/s21144656"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Bamunuarachchi, D., Georgakopoulos, D., Banerjee, A., and Jayaraman, P.P. (2021). Digital Twins Supporting Efficient Digital Industrial Transformation. Sensors, 21.","DOI":"10.3390\/s21206829"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Vach\u00e1lek, J., \u0160i\u0161mi\u0161ov\u00e1, D., Va\u0161ek, P., Fi\u0165ka, I., Slov\u00e1k, J., and \u0160imovec, M. (2021). Design and Implementation of Universal Cyber-Physical Model for Testing Logistic Control Algorithms of Production Line\u2019s Digital Twin by Using Color Sensor. Sensors, 21.","DOI":"10.3390\/s21051842"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Gallala, A., Kumar, A.A., Hichri, B., and Plapper, P. (2022). Digital Twin for Human\u2013Robot Interactions by Means of Industry 4.0 Enabling Technologies. Sensors, 22.","DOI":"10.3390\/s22134950"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"St\u0105czek, P., Pizo\u0144, J., Danilczuk, W., and Gola, A. (2021). A Digital Twin Approach for the Improvement of an Autonomous Mobile Robots (AMR\u2019s) Operating Environment\u2014A Case Study. Sensors, 21.","DOI":"10.3390\/s21237830"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Abdul Hadi, M., Kraus, D., Kajmakovic, A., Suschnigg, J., Guiza, O., Gashi, M., Sopidis, G., Vukovic, M., Milenkovic, K., and Haslgruebler, M. (2022). Towards Flexible and Cognitive Production\u2014Addressing the Production Challenges. Appl. Sci., 12.","DOI":"10.3390\/app12178696"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Angelopoulos, J., and Mourtzis, D. (2022). An Intelligent Product Service System for Adaptive Maintenance of Engineered-to-Order Manufacturing Equipment Assisted by Augmented Reality. Appl. Sci., 12.","DOI":"10.3390\/app12115349"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Mourtzis, D., Angelopoulos, J., and Panopoulos, N. (2022). A Literature Review of the Challenges and Opportunities of the Transition from Industry 4.0 to Society 5.0. Energies, 15.","DOI":"10.3390\/en15176276"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Zizic, M.C., Mladineo, M., Gjeldum, N., and Celent, L. (2022). From Industry 4.0 towards Industry 5.0: A Review and Analysis of Paradigm Shift for the People, Organization and Technology. Energies, 15.","DOI":"10.3390\/en15145221"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Nahavandi, S. (2019). Industry 5.0\u2014A Human-Centric Solution. Sustainability, 11.","DOI":"10.3390\/su11164371"},{"key":"ref_28","unstructured":"Radaschin, A., Voda, A., Minca, E., and Filipescu, A. (2012, January 23\u201325). Task Planning Algorithm in Hybrid Assembly\/Disassembly Process. Proceedings of the 14th IFAC Symposium on Information Control Problems in Manufacturing, Bucharest, Romania."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Kallrath, J. (2003). Planning and scheduling in the process industry. Advance Planning and Scheduling Solution in Process Industry, Springer.","DOI":"10.1007\/978-3-662-05607-3_2"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"6736","DOI":"10.1080\/00207543.2016.1161252","article-title":"Robot and machine scheduling with state-dependent part input sequencing in flexible manufacturing systems","volume":"54","author":"He","year":"2016","journal-title":"Int. J. Prod. Res."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Barczak, A., Dembi\u0144ska, I., and Marzantowicz, \u0141. (2019). Analysis of the Risk Impact of Implementing Digital Innovations for Logistics Management. Processes, 7.","DOI":"10.3390\/pr7110815"},{"key":"ref_32","unstructured":"(2022, October 17). Sirphyco Simulateur de R\u00e9seaux de Petri, Sirphyco-Simulateur-de-Reseaux-de-Petri. Available online: Toucharger.com."},{"key":"ref_33","unstructured":"(2022, October 17). Mobile Robots Simulator. Available online: https:\/\/web.archive.org\/web\/20180205220201\/http:\/\/robots.mobilerobots.com\/wiki\/MobileSim."},{"key":"ref_34","unstructured":"(2022, October 17). Totally Integrated Automation Portal. Available online: www.siemens.com\/tia-portal."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1016\/j.mechmachtheory.2006.04.002","article-title":"A new method for smooth trajectory planning of robot manipulators","volume":"42","author":"Gasparetto","year":"2007","journal-title":"Mech. Mach. Theory"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Fan, Y., Lv, X., Lin, J., Ma, J., Zhang, G., and Zhang, L. (2019). Autonomous Operation Method of Multi-DOF Robotic Arm Based on Binocular Vision. Appl. Sci., 9.","DOI":"10.3390\/app9245294"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Ravankar, A., Ravankar, A.A., Kobayashi, Y., Hoshino, Y., and Peng, C.-C. (2018). Path Smoothing Techniques in Robot Navigation: State-of-the-Art, Current and Future Challenges. Sensors, 18.","DOI":"10.3390\/s18093170"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Ciubucciu, G., Filipescu, A., Filipescu, A., Filipescu, S., and Dumitrascu, B. (2016, January 1\u20133). Control and Obstacle Avoidance of a WMR Based on Sliding-Mode, Ultrasounds and Laser. Proceedings of the 12th IEEE International Conference on Control and Automation (ICCA), Kathmandu, Nepal.","DOI":"10.1109\/ICCA.2016.7505373"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Corke, P.I., Spindler, F., and Chaumette, F. (2009, January 11). Combining Cartesian and polar coordinates in IBVS. Proceedings of the 2009 IEEE\/RSJ International Conference on Intelligent Robots and Systems, St. Louis, MO, USA.","DOI":"10.1109\/IROS.2009.5354569"},{"key":"ref_40","unstructured":"Copot, C. (2012). Control Techniques for Visual Servoing Systems. [Ph.D. Thesis, Technical University of Iasi]."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Petrea, G., Filipescu, A., Solea, R., and Filipescu, A. (2018, January 10\u201312). Visual Servoing Systems Based Control of Complex Autonomous Systems Serving a P\/RML. Proceedings of the 22nd IEEE, International Conference on System Theory, Control and Computing, (ICSTCC), Sinaia, Romania.","DOI":"10.1109\/ICSTCC.2018.8540749"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Song, R., Li, F., Fu, T., and Zhao, J. (2020). A Robotic Automatic Assembly System Based on Vision. Appl. Sci., 10.","DOI":"10.3390\/app10031157"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Lan, C.-W., and Chang, C.-Y. (2020). Development of a Low Cost and Path-free Autonomous Patrol System Based on Stereo Vision System and Checking Flags. Appl. Sci., 10.","DOI":"10.3390\/app10030974"},{"key":"ref_44","unstructured":"Deng, L., Wilson, W., and Janabi-Sharifi, F. (2003, January 27\u201331). Dynamic performance of the position-based visual servoing method in the Cartesian and image spaces. Proceedings of the IEEE\/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, NV, USA."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"955","DOI":"10.1177\/027836490302210011","article-title":"Performance tests for visual servo control systems, with application to partitioned approaches to visual servo control","volume":"22","author":"Gans","year":"2003","journal-title":"Int. J. Robot. Res."},{"key":"ref_46","unstructured":"(2022, October 17). Available online: https:\/\/opencv.org."},{"key":"ref_47","unstructured":"(2022, October 17). Mathworks. Available online: https:\/\/www.mathworks.com."},{"key":"ref_48","unstructured":"(2022, October 17). Microsoft Visual Studio. Available online: https:\/\/www.visualstudio.com\/vs\/cplusplus."},{"key":"ref_49","unstructured":"(2020, October 17). Advanced Robotics Interface for Applications. Available online: https:\/\/web.archive.org\/web\/20180205212122\/http:\/\/robots.mobilerobots.com\/wiki\/Aria."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/21\/8153\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:02:07Z","timestamp":1760144527000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/21\/8153"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,25]]},"references-count":49,"journal-issue":{"issue":"21","published-online":{"date-parts":[[2022,11]]}},"alternative-id":["s22218153"],"URL":"https:\/\/doi.org\/10.3390\/s22218153","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,25]]}}}