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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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The Symbiotic Revolution: Integrating Artificial Intelligence And Robotics In The Industry 4.0 Paradigm

Authors: Dr. Rajashri Raju Tambe; Niraj Raju Tambe;

The Symbiotic Revolution: Integrating Artificial Intelligence And Robotics In The Industry 4.0 Paradigm

Abstract

The fourth industrial revolution, also known as Industry 4.0, represents a major change in how manufacturing and industrial processes work. This shift is fueled by the use of cyber-physical systems, the Internet of Things (IoT), and technologies that can operate on their own. At the heart of this change is the close connection between Artificial Intelligence (AI) and robots. This paper looks at how AI is helping to improve what industrial robots can do, leading to new ways to be more efficient, apply technology in different areas, and create new opportunities within the Industry 4.0 environment. We look at important uses of AI, such as using it to predict when machines might need maintenance, improving quality control through computer vision, and the growing idea of working together with robot. The paper also talks about the big challenges and ethical issues that come with combining AI and robotic, like keeping data safe, the lack of skilled workers, and the importance of explainable AI (XAI) in systems that operate on their own. By looking at existing research and thinking about what's next, this paper suggests that mixing AI with robotics isn't just about making things better—it's about completely rethinking how industry work, leading to stronger, smarter, and more sustainable ways of making things.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green