This work is licensed under the Creative Commons Attribution 4.0 International License.
Pearce, M., Mutlu, B., Shah, J., & Radwin, R. (2018). Optimizing makespan and ergonomics in integrating collaborative robots into manufacturing processes. IEEE transactions on automation science and engineering, 15(4), 1772-1784.PearceM.MutluB.ShahJ.RadwinR. (2018). Optimizing makespan and ergonomics in integrating collaborative robots into manufacturing processes. IEEE transactions on automation science and engineering, 15(4), 1772-1784.Search in Google Scholar
Tilley, J. (2017). Automation, robotics, and the factory of the future. McKinsey & Company, 67(1), 67-72.TilleyJ. (2017). Automation, robotics, and the factory of the future. McKinsey & Company, 67(1), 67-72.Search in Google Scholar
Weckenborg, C., Kieckhäfer, K., Müller, C., Grunewald, M., & Spengler, T. S. (2020). Balancing of assembly lines with collaborative robots. Business Research, 13(1), 93-132.WeckenborgC.KieckhäferK.MüllerC.GrunewaldM.SpenglerT. S. (2020). Balancing of assembly lines with collaborative robots. Business Research, 13(1), 93-132.Search in Google Scholar
Keshvarparast, A., Battini, D., Battaia, O., & Pirayesh, A. (2024). Collaborative robots in manufacturing and assembly systems: literature review and future research agenda. Journal of Intelligent Manufacturing, 35(5), 2065-2118.KeshvarparastA.BattiniD.BattaiaO.PirayeshA. (2024). Collaborative robots in manufacturing and assembly systems: literature review and future research agenda. Journal of Intelligent Manufacturing, 35(5), 2065-2118.Search in Google Scholar
Wang, X. V., Wang, L., Mohammed, A., & Givehchi, M. (2017). Ubiquitous manufacturing system based on Cloud: A robotics application. Robotics and Computer-Integrated Manufacturing, 45, 116-125.WangX. V.WangL.MohammedA.GivehchiM. (2017). Ubiquitous manufacturing system based on Cloud: A robotics application. Robotics and Computer-Integrated Manufacturing, 45, 116-125.Search in Google Scholar
Calitz, A. P., Poisat, P., & Cullen, M. (2017). The future African workplace: The use of collaborative robots in manufacturing. SA Journal of Human Resource Management, 15(1), 1-11.CalitzA. P.PoisatP.CullenM. (2017). The future African workplace: The use of collaborative robots in manufacturing. SA Journal of Human Resource Management, 15(1), 1-11.Search in Google Scholar
Kousi, N., Gkournelos, C., Aivaliotis, S., Giannoulis, C., Michalos, G., & Makris, S. (2019). Digital twin for adaptation of robots’ behavior in flexible robotic assembly lines. Procedia manufacturing, 28, 121-126.KousiN.GkournelosC.AivaliotisS.GiannoulisC.MichalosG.MakrisS. (2019). Digital twin for adaptation of robots’ behavior in flexible robotic assembly lines. Procedia manufacturing, 28, 121-126.Search in Google Scholar
Ionescu, D., Filipescu, A., Simion, G., Mincă, E., Cernega, D., Șolea, R., & 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(2), 43.IonescuD.FilipescuA.SimionG.MincăE.CernegaD.ȘoleaR.FilipescuA. (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(2), 43.Search in Google Scholar
Safeea, M., Neto, P., & Bearee, R. (2019). On-line collision avoidance for collaborative robot manipulators by adjusting off-line generated paths: An industrial use case. Robotics and Autonomous Systems, 119, 278-288.SafeeaM.NetoP.BeareeR. (2019). On-line collision avoidance for collaborative robot manipulators by adjusting off-line generated paths: An industrial use case. Robotics and Autonomous Systems, 119, 278-288.Search in Google Scholar
Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2021). Substantial capabilities of robotics in enhancing industry 4.0 implementation. Cognitive Robotics, 1, 58-75.JavaidM.HaleemA.SinghR. P.SumanR. (2021). Substantial capabilities of robotics in enhancing industry 4.0 implementation. Cognitive Robotics, 1, 58-75.Search in Google Scholar
Dalle Mura, M., & Dini, G. (2019). Designing assembly lines with humans and collaborative robots: A genetic approach. CIRP Annals, 68(1), 1-4.Dalle MuraM.DiniG. (2019). Designing assembly lines with humans and collaborative robots: A genetic approach. CIRP Annals, 68(1), 1-4.Search in Google Scholar
Liu, Z., Liu, Q., Xu, W., Wang, L., & Zhou, Z. (2022). Robot learning towards smart robotic manufacturing: A review. Robotics and Computer-Integrated Manufacturing, 77, 102360.LiuZ.LiuQ.XuW.WangL.ZhouZ. (2022). Robot learning towards smart robotic manufacturing: A review. Robotics and Computer-Integrated Manufacturing, 77, 102360.Search in Google Scholar
Evjemo, L. D., Gjerstad, T., Grøtli, E. I., & Sziebig, G. (2020). Trends in smart manufacturing: Role of humans and industrial robots in smart factories. Current Robotics Reports, 1, 35-41.EvjemoL. D.GjerstadT.GrøtliE. I.SziebigG. (2020). Trends in smart manufacturing: Role of humans and industrial robots in smart factories. Current Robotics Reports, 1, 35-41.Search in Google Scholar
Barosz, P., Gołda, G., & Kampa, A. (2020). Efficiency analysis of manufacturing line with industrial robots and human operators. Applied Sciences, 10(8), 2862.BaroszP.GołdaG.KampaA. (2020). Efficiency analysis of manufacturing line with industrial robots and human operators. Applied Sciences, 10(8), 2862.Search in Google Scholar
Uhlemann, T. H. J., Schock, C., Lehmann, C., Freiberger, S., & Steinhilper, R. (2017). The digital twin: demonstrating the potential of real time data acquisition in production systems. Procedia Manufacturing, 9, 113-120.UhlemannT. H. J.SchockC.LehmannC.FreibergerS.SteinhilperR. (2017). The digital twin: demonstrating the potential of real time data acquisition in production systems. Procedia Manufacturing, 9, 113-120.Search in Google Scholar
Vachálek, J., Bartalský, L., Rovný, O., Šišmišová, D., Morháč, M., & Lokšík, M. (2017, June). The digital twin of an industrial production line within the industry 4.0 concept. In 2017 21st international conference on process control (PC) (pp. 258-262). IEEE.VachálekJ.BartalskýL.RovnýO.ŠišmišováD.MorháčM.LokšíkM. (2017, June). The digital twin of an industrial production line within the industry 4.0 concept. In 2017 21st international conference on process control (PC) (pp. 258-262). IEEE.Search in Google Scholar
Cimino, C., Negri, E., & Fumagalli, L. (2019). Review of digital twin applications in manufacturing. Computers in industry, 113, 103130.CiminoC.NegriE.FumagalliL. (2019). Review of digital twin applications in manufacturing. Computers in industry, 113, 103130.Search in Google Scholar
Qi, Q., & Tao, F. (2018). Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison. Ieee Access, 6, 3585-3593.QiQ.TaoF. (2018). Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison. Ieee Access, 6, 3585-3593.Search in Google Scholar
Söderberg, R., Wärmefjord, K., Carlson, J. S., & Lindkvist, L. (2017). Toward a Digital Twin for real-time geometry assurance in individualized production. CIRP annals, 66(1), 137-140.SöderbergR.WärmefjordK.CarlsonJ. S.LindkvistL. (2017). Toward a Digital Twin for real-time geometry assurance in individualized production. CIRP annals, 66(1), 137-140.Search in Google Scholar
Zhang, H., Liu, Q., Chen, X., Zhang, D., & Leng, J. (2017). A digital twin-based approach for designing and multi-objective optimization of hollow glass production line. Ieee Access, 5, 26901-26911.ZhangH.LiuQ.ChenX.ZhangD.LengJ. (2017). A digital twin-based approach for designing and multi-objective optimization of hollow glass production line. Ieee Access, 5, 26901-26911.Search in Google Scholar
Negri, E., Fumagalli, L., & Macchi, M. (2017). A review of the roles of digital twin in CPS-based production systems. Procedia manufacturing, 11, 939-948.NegriE.FumagalliL.MacchiM. (2017). A review of the roles of digital twin in CPS-based production systems. Procedia manufacturing, 11, 939-948.Search in Google Scholar