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Paper Title

Applications of Generative AI in Automation Engineering

Authors

Ram Kumar , Aishika Manu

Keywords

Generative AI, Automation Engineering, Design Optimization, Predictive Maintenance, Quality Control, Collaborative Robotics (Cobots), Digital Twins, Sustainable Automation, Industrial Automation, Smart Manufacturing, Adaptive Manufacturing, Real-time Quality Inspection, Supply Chain Optimization, AI-driven Process Simulation.

Abstract

This paper discusses the transformative capability of Generative AI in automation engineering, focusing on its applications, benefits, challenges, and the future advancements this technology entails. In this regard, Generative AI has gone beyond simple text or image production to have wide industrial impacts across a large number of sectors. Generative AI serves fundamentally to automate the designing process, predict maintenance needs and control the real-time to enable the systems operate with at least a human intervention in the maximum efficiency. This has become an integration that has proved effective in the automobile, aerospace, and electronics production industries. It has promoted precision, adaptability, and general productivity in the automobile, aerospace, and electronics sectors of production. Challenges in implementing generative AI include huge data demands, regulatory issues, and a very high cost. Case studies form the backbone of real-world applications of generative AI, while paper offers scope for future advancements of adaptive manufacturing, collaborative robotics, and sustainable automation practices. Generative AI will surely play an important role in the development of automation engineering into an era of intelligent self-optimizing and eco-friendly industrial processes. The paper aims to provide an overview of the current applications along with the anticipated advancements in the generative AI towards shaping automation engineering.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJRTI — journal style
"Applications of Generative AI in Automation Engineering", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 1, page no.a966-a977, January-2025, Available :https://ijrti.org/papers/IJRTI2501117.pdf
APA — 7th edition
Kumar, R., & Manu, A. (2025). Applications of Generative AI in Automation Engineering. International Journal for Research Trends and Innovation, 10(1), a966-a977. https://ijrti.org/viewpaperforall.php?paper=IJRTI2501117
MLA — 9th edition
Kumar, Ram, and Aishika Manu. "Applications of Generative AI in Automation Engineering." International Journal for Research Trends and Innovation, vol. 10, no. 1, 2025, pp. a966-a977, https://ijrti.org/viewpaperforall.php?paper=IJRTI2501117.
Chicago — 17th, bibliography
Kumar, Ram, and Aishika Manu. "Applications of Generative AI in Automation Engineering." International Journal for Research Trends and Innovation 10, no. 1 (2025): a966-a977. https://ijrti.org/viewpaperforall.php?paper=IJRTI2501117.
Harvard — author–date
Kumar, R. and Manu, A. (2025) 'Applications of Generative AI in Automation Engineering', International Journal for Research Trends and Innovation, 10(1), pp. a966-a977. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2501117
IEEE — numbered reference
R. Kumar and A. Manu, "Applications of Generative AI in Automation Engineering," IJRTI, vol. 10, no. 1, pp. a966-a977, Jan. 2025.
Vancouver — biomedical
Kumar R, Manu A. Applications of Generative AI in Automation Engineering. IJRTI. 2025 Jan;10(1):a966-a977.
AMA — 11th edition
Kumar R, Manu A. Applications of Generative AI in Automation Engineering. IJRTI. 2025;10(1):a966-a977. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2501117
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2501117, author = {Ram Kumar and Aishika Manu}, title = {Applications of Generative AI in Automation Engineering}, journal = {International Journal for Research Trends and Innovation}, volume = {10}, number = {1}, pages = {a966-a977}, year = {2025}, month = {January}, issn = {2456-3315}, url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2501117} }
RIS — EndNote, RefWorks
TY - JOUR AU - Kumar, Ram AU - Manu, Aishika TI - Applications of Generative AI in Automation Engineering T2 - International Journal for Research Trends and Innovation JA - IJRTI VL - 10 IS - 1 PY - 2025 SN - 2456-3315 UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2501117 SP - a966-a977 ER -

Issue

Volume 10 Issue 1, January-2025
Pages : a966-a977

Other Publication Details

Paper Reg. ID IJRTI_200496
Published Paper ID IJRTI2501117
Downloads 205,642
Research Area Engineering
Country Lucknow, Uttar Pradesh, India
Published January 2025

About Publisher

International Journal for Research Trends and Innovation Published by IJRTI (JW Publication)
2456-3315 ISSN
10.57 Impact Factor
2016 ESTD Year
Open Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Licence

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.

Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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