Contribution and Development Trend of the Robotics Industry in the Context of Declining Population Growth Rate

Authors

  • Yingjun Zheng

DOI:

https://doi.org/10.54097/q08sew40

Keywords:

Aging; Industrial and social robots; Unemployment

Abstract

In modern society, with a higher level of education for women, the growth rate of the population is dropping. Together with the improvements in AI systems, robots might play a more crucial role in future development than before. However, some may argue that the application of AI may result in a high unemployment rate which is a phenomenon that the government does not want to see. This paper discussed the problems that arise from aging, the obstacles that have been met in the robotic industry and how to solve them. Although robotics is more sophisticated compared to the past and has already had a significant state in the automated production industry, there are still obvious shortcomings in personalized service since it is too difficult for language models to understand human reactions. In the future, this issue might be solved by instilling more expertise in AI, as well as writing new programming code might solve the existing problems.

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References

ISO. ISO/TC 299[EB/OL]. [2022-01-08].

Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of economic perspectives, 29(3), 3-30.

Giuntella, O., & Wang, T. (2019). Is an army of robots marching on Chinese jobs?.

Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of economic perspectives, 29(3), 3-30.

Acemoglu, D., Autor, D., Hazell, J., & Restrepo, P. (2020). AI and jobs: Evidence from online vacancies (No. w28257). National Bureau of Economic Research.

Bessen, J. (2019). Automation and jobs: When technology boosts employment. Economic Policy, 34(100), 589-626.

Autor, D., & Salomons, A. (2018). Is automation labor-displacing? Productivity growth, employment, and the labor share (No. w24871). National Bureau of Economic Research.

Hémous, D., & Olsen, M. (2022). The rise of the machines: Automation, horizontal innovation, and income inequality. American Economic Journal: Macroeconomics, 14(1), 179-223.

Acemoglu, D., & Restrepo, P. (2018). Artificial intelligence, automation, and work. In The economics of artificial intelligence: An agenda (pp. 197-236). University of Chicago Press.

UN, United Nations, Department of Economic and Social Affairs PD. World Population Prospects: The 2019 Revision | Multimedia Library - United Nations Department of Economic and Social Affairs, vol. 9; 2019. p. 1–13. https://population.un.org/wpp/Download/Standard/Population/

Götmark, F., & Andersson, M. (2020). Human fertility in relation to education, economy, religion, contraception, and family planning programs. BMC Public Health, 20(1), 1-17.

Bongaarts, J., Mensch, B. S., & Blanc, A. K. (2017). Trends in the age at reproductive transitions in the developing world: The role of education. Population studies, 71(2), 139-154.

Jones, L. E., Schoonbroodt, A., & Tertilt, M. (2008). Fertility theories: can they explain the negative fertility-income relationship? (No. w14266). National Bureau of Economic Research.

Heimann, O., & Guhl, J. (2020, September). Industrial robot programming methods: A scoping review. In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (Vol. 1, pp. 696-703). IEEE.

Ruishu, Z., Chang, Z., & Weigang, Z. (2018, October). The status and development of industrial robots. In IOP Conference Series: Materials Science and Engineering (Vol. 423, No. 1, p. 012051). IOP Publishing.

Al-Sharafi, M. A., Al-Emran, M., Arpaci, I., Iahad, N. A., AlQudah, A. A., Iranmanesh, M., & Al-Qaysi, N. (2023). Generation Z use of artificial intelligence products and its impact on environmental sustainability: A cross-cultural comparison. Computers in Human Behavior, 143, 107708.

Hellou, M., Gasteiger, N., Lim, J. Y., Jang, M., & Ahn, H. S. (2021). Personalization and localization in human-robot interaction: A review of technical methods. Robotics, 10(4), 120.

Tapus, A., Mataric, M. J., & Scassellati, B. (2007). Socially assistive robotics [grand challenges of robotics]. IEEE robotics & automation magazine, 14(1), 35-42.

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Published

22-01-2024

How to Cite

Zheng, Y. (2024). Contribution and Development Trend of the Robotics Industry in the Context of Declining Population Growth Rate. Highlights in Business, Economics and Management, 24, 1359-1365. https://doi.org/10.54097/q08sew40