The synergy of artificial intelligence and robotics: Transformative potential, challenges, and ethical imperatives in modern technology

Authors

  • Mohammad Reza Khosravi Bachelor of Science, Defense Management, Imam Ali (AS) Military University, Tehran, Iran.
  • Amir Hoshang Sabzevari * Bachelor of Science, Defense Management, Imam Ali (AS) Military University, Tehran, Iran.
  • Ali Karimi Bachelor of Science, Defense Management, Imam Ali (AS) Military University, Tehran, Iran.
  • Yaser Roozbahani Bachelor of Science, Defense Management, Imam Ali (AS) Military University, Tehran, Iran.

https://doi.org/10.22105/metaverse.v2i4.85

Abstract

This study examines the interrelationship between Artificial Intelligence (AI) and robotics as two transformative pillars of modern technology that are reshaping human life and industry. It explores how AI enhances robotic capabilities—enabling autonomous decision-making, adaptive learning, and complex task execution through advances in machine learning, neural networks, and sensor technologies. The research highlights real-world applications across key domains, including medicine, agriculture, manufacturing, and social services, demonstrating significant gains in efficiency, accuracy, and productivity. However, it also addresses the accompanying technical, ethical, and societal challenges, such as data privacy, cybersecurity, job displacement, and legal accountability. The paper emphasizes the importance of transparent governance, interdisciplinary collaboration, and workforce reskilling to ensure responsible innovation. It concludes that while the synergy between AI and robotics offers vast potential for progress, its benefits must be guided by ethical principles and equitable policies to serve humanity as a whole.

Keywords:

Artificial intelligence, Robotics, Machine learning, Automation, Ethics, Technological innovation

References

  1. [1] Saghiri, A. M., Vahidipour, S. M., Jabbarpour, M. R., Sookhak, M., & Forestiero, A. (2022). A survey of artificial intelligence challenges: Analyzing the definitions, relationships, and evolutions. Applied sciences, 12(8), 4054. https://doi.org/10.3390/app12084054
  2. [2] Liu, M., Zhang, L. J., & Biebricher, C. (2024). Investigating students’ cognitive processes in generative AI-assisted digital multimodal composing and traditional writing. Computers & education, 211, 104977. https://doi.org/10.1016/j.compedu.2023.104977
  3. [3] Dhirani, L. L., Mukhtiar, N., Chowdhry, B. S., & Newe, T. (2023). Ethical dilemmas and privacy issues in emerging technologies: A review. Sensors, 23(3), 1151. https://doi.org/10.3390/s23031151
  4. [4] Rahayu, S., Utami, S. D., Muti, A., & Friya, Y. (2024). THE future of work in workforce: the role of ai in human labor replacement and business transformation [presentation]. Proceeding of international students conference of economics and business excellence (Vol. 1, pp. 58–62). https://doi.org/10.33830/iscebe.v1i1.3578
  5. [5] Huo, Q., Ruan, J., & Cui, Y. (2024). “Machine replacement” or “job creation”: How does artificial intelligence impact employment patterns in China’s manufacturing industry? Frontiers in artificial intelligence, 7, 1337264. https://doi.org/10.3389/frai.2024.1337264
  6. [6] Abadir, P. M., Chellappa, R., Choudhry, N., Demiris, G., Ganesan, D., Karlawish, J., … & Directors and Advisors of the AITCs. (2023). The promise of AI and technology to improve quality of life and care for older adults. Nature aging, 3(6), 629–631. https://www.nature.com/articles/s43587-023-00430-0
  7. [7] Ullah, A., Quddusi, S. A., & Haider, I. (2024). Incorporation of artificial intelligence in enhancing quality of life in smart cities. American journal of artificial intelligence, 8(2), 48–54. https://doi.org/10.11648/j.ajai.20240802.13
  8. [8] Spirito, C. (2024). Artificial intelligence applications in reverse logistics, how technology could improve return and waste management creating value [Thesis]. https://webthesis.biblio.polito.it/31999/
  9. [9] Gupta, N., & Gupta, P. K. (2024). Robotics and artificial intelligence (AI) in agriculture with major emphasis on food crops. In Digital agriculture: a solution for sustainable food and nutritional security (pp. 577–605). Springer. https://doi.org/10.1007/978-3-031-43548-5_19
  10. [10] Sardinha, T. B. (2024). AI-generated vs human-authored texts: A multidimensional comparison. Applied corpus linguistics, 4(1), 100083. https://doi.org/10.1016/j.acorp.2023.100083
  11. [11] Dergaa, I., Chamari, K., Zmijewski, P., & Saad, H. Ben. (2023). From human writing to artificial intelligence generated text: Examining the prospects and potential threats of ChatGPT in academic writing. Biology of sport, 40(2), 615–622. https://doi.org/10.5114/biolsport.2023.125623
  12. [12] Antony Jose, S., Cook, C. A. D., Palacios, J., Seo, H., Torres Ramirez, C. E., Wu, J., & Menezes, P. L. (2024). Recent advancements in artificial intelligence in battery recycling. Batteries, 10(12), 440. https://doi.org/10.3390/batteries10120440
  13. [13] Arjunan, G. (2024). AI beyond text: Integrating vision, audio, and language for multimodal learning. International journal of innovative science and research technology, 9(11), 1911–1917. https://doi.org/10.5281/zenodo.14287143
  14. [14] Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A., & Trichina, E. (2023). Artificial intelligence, robotics, advanced technologies and human resource management: A systematic review. In Artificial intelligence and international hrm (pp. 172–201). Routledge. https://B2n.ir/qr1785
  15. [15] Brandao, P. R. (2025). The impact of artificial intelligence on modern society. AI, 6(8), 190. https://doi.org/10.3390/ai6080190
  16. [16] Abbasov, A., & Rzayev, R. (2022). Artificial intelligence and digital economy: Development prospects. International conference on theory and applications of fuzzy systems and soft computing (pp. 147–153). Springer. https://doi.org/10.1007/978-3-031-25252-5_23
  17. [17] Bharti, S. S., & Aryal, S. K. (2023). The right to privacy and an implication of the EU general data protection regulation (GDPR) in Europe: Challenges to the companies. Journal of contemporary european studies, 31(4), 1391–1402. https://doi.org/10.1080/14782804.2022.2130193
  18. [18] Akar, G., Casalone, G., & Zagler, M. (2023). You have been terminated: robots, work, and taxation. International review of economics, 70(3), 283–300. https://doi.org/10.1007/s12232-023-00419-6
  19. [19] Kaur, C., & Garg, U. (2023). Artificial intelligence techniques for cancer detection in medical image processing: A review. Materials today: proceedings, 81, 806–809. https://doi.org/10.1016/j.matpr.2021.04.241
  20. [20] Singh, H. (2025). The impact of advancements in artificial intelligence on autonomous vehicles and modern transportation systems. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5267884
  21. [21] Ali Elfa, M. A., & Dawood, M. E. T. (2023). Using artificial intelligence for enhancing human creativity. Journal of art, design and music, 2(2), 106–120. https://doi.org/10.55554/2785-9649.1017

Downloads

Published

2025-12-17

Issue

Vol. 2 No. 4 (2025): Metaversalize

Section

Articles

Categories

License

Copyright (c) 2025 Metaversalize

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Khosravi, M. R., Sabzevari, A. H., Karimi, A., & Roozbahani, Y. (2025). The synergy of artificial intelligence and robotics: Transformative potential, challenges, and ethical imperatives in modern technology. Metaversalize, 2(4), 193-203. https://doi.org/10.22105/metaverse.v2i4.85
Crossref
Scopus
Google Scholar
Europe PMC

Similar Articles

1-10 of 30

You may also start an advanced similarity search for this article.