Abstract
In the last decade, industrial robotics sector has known an evolution at level of its technological platform, especially with the appearance of Industry 4.0, therefore we are entering a new era of automation where intelligent production and digital factories produce increasingly complex and high-volume quality products with less human effort. The automotive industry which is already revolutionizing the transition to electric cars has to deal with the change in construction and the tools used to produce them. The use of evermore collaborating intelligent robots with machines and humans of smart manufacturing and assembly lines represents a new level of development in automation. This article provides an overview of the latest tools, directions and intelligent methods available today in this area, from virtual reality to wearable machine intelligence devices for human-driven systems, all the while focusing on robotic applications. Describes the latest industry trends in each field, by highlighting detection systems designed to achieve security, response speed, detection completeness, and reliability, introducing security vision systems of robotic systems, ultrasonic and laser sensors and their efficiency issues. In the final stage, the paper will compare the state of the art in automotive robotics by analyzing the development of leading car manufacturers in Europe, the United States and the Far East.
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References
Sung, T.K.: Industry 4.0: a Korea perspective. Technol. Forecast. Soc. Change 132, 40–45 (2017)
Dima, I.C., Kot, S.: Capacity of production. Industrial Production Management in Flexible Manufacturing Systems. Book News Inc, Portland (2013)
Benotsmane, R., Dudás, L., Kovács, G.: Collaborating robots in Industry 4.0 conception. In: Proceedings of XXIII International Conference on Manufacturing, vol. 448, 012023. IOP Conference Series: Materials Science and Engineering, Kecskemét (2018)
Benotsmane, R., Kovács, G., Dudás, L., Economic, social impacts and operation of smart factories in Industry 4.0 focusing on simulation and artificial intelligence of collaborating robots. Soc. Sci. 8, 143 (2019)
Thomassey, S., Zeng, X.: Artificial Intelligence for Fashion Industry in the Big Data Era. Springer, Singapore (2018)
Ding, H., Wang, W., Qiu, M., Dong, J.: Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management. Springer Series in Advanced Manufacturing, London (2010)
Xu, J., Huang, E., Hsieh, L., Lee, L.H., Jia, Q.S., Chen, C.H.: Simulation optimization in the era of Industrial 4.0 and the industrial internet. J. Simul. 10, 310–320 (2016)
Regenbrecht, H., Baratoff, G., Wilke, W.: Augmented reality projects in the automotive and aerospace industries. IEEE Comput. Graphics Appl. 25, 48–56 (2005)
Karabegović, I.: The role of industrial robots in the development of automotive industry in China. Int. J. Eng. Works 3(12), 92–97 (2016)
Ranky, P.G.: Collaborative, synchronous robots serving machines and cells. Ind. Robot 30(3), 213–217 (2003)
Parodi, F., Gerio, P.: AURA: an example of collaborative robot for automotive and general industry applications. Procedia Manuf. 11, 338–345 (2017)
Tuli, T., Manns, M.: Hierarchical motion control for real time simulation of industrial robots. Procedia CIRP 81, 713–718 (2019)
Binbin, Z., Jun, W., Liping, W., Zhenyang, Y.: Accurate dynamic modeling and control parameters design of an industrial hybrid spray-painting robot. Robot. Comput. Integrated Manuf. 63, 101923 (2020)
ENCYCLOPAEDIA BRITANNICA Homepage. https://www.britannica.com/technology/automotive-industry. Accessed 25 June 2020
Dajsuren, Y., Van den Brand, M. (eds.): Automotive Systems and Software Engineering. Springer International Publishing, Switzerland (2019)
Pwc Global Homepage. https://www.pwc.com/gx/en/industries/automotive/publications/eascy.html. Accessed 28 June 2020
McKinsey & Company. https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/the-road-to-2020-and-beyond-whats-driving-the-global-automotive-industry. Accessed 28 Jun 2020
Williams, E., Ülgen, O.: Use Cases of Discrete Event Simulation. Springer, , Heidelberg (2012)
Maros, Z.: Machining of different materials with abrasive waterjet cutting. IOP Conf. Ser. Mater. Sci. Eng. 448(1), 012009 (2018)
Kundrák, J., Pálmai, Z., Varga, G.: Analysis of tool life functions in hard turning. Tehnicki Vjesnik Technical Gazette 27(1), 166–173 (2020)
Jaiganesh, V., Jayashankar, D.K., Girijadevi, J.: Automated guided vehicle with robotic logistics system. Procedia Eng. 97, 2011–2021 (2014)
Garcia, M., Rojas, R., Gualtieri, L., Rauch, E., Matt, D.: A human-in-the-loop cyber-physical system for collaborative assembly in smart manufacturing. Procedia CIRP 81, 600–605 (2019)
Yan, Z., et al.: A survey and analysis of multi-robot coordination. Int. J. Adv. Robot. Syst. 10(12), 399 (2013)
Magrini, E., Ferraguti, F., Jacopo Ronga, A., Pini, F.: Human-robot coexistence and interaction in open industrial cells. Rob. Comput. Integrated Manuf. 61, 101846 (2020)
Makris, S., Eytan, A.: Cooperating robots for reconfigurable assembly operations: review and challenges. Procedia CIRP 3, 346–351 (2012)
https://www2.deloitte.com/us/en/insights/focus/3d-opportunity/additive-manufacturing-3d-opportunity-in-automotive.html. Accessed 28 June 2020
European Commission Home page. https://ec.europa.eu/transparency/regexpert/index.cfm?do=groupDetail.groupDetailDoc&id=34594&no=1. Accessed 27 June 2020
SELECTUSA Homepage. https://www.selectusa.gov/automotive-industry-united-states. Accessed 30 June 2020
Tang, R.: The Rise of China’s Auto Industry and Its Impact on the U.S. Motor Vehicle Industry. Federal Publications (2009)
Statista Homepage. https://www.statista.com/topics/1050/automobile-manufacturing-in-china. Accessed 30 June 2020
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Benotsmane, R., Dudás, L., Kovács, G. (2021). Survey on New Trends of Robotic Tools in the Automotive Industry. In: Jármai, K., Voith, K. (eds) Vehicle and Automotive Engineering 3. VAE 2020. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-9529-5_38
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