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Robotics and Artificial Intelligence

Authors: Saruhasan A.; Dr. Barakath Begam A.;

Robotics and Artificial Intelligence

Abstract

The integration of robotics and artificial intelligence (AI) has significantly transformed modern industries by enhancing automation, efficiency and decision-making capabilities. Robotics, combined with advanced AI techniques such as machine learning and deep learning, enables systems to perform complex tasks with greater precision and adaptability. This study reviews the current developments, applications and challenges of robotics and AI across various sectors including manufacturing, healthcare, logistics and education. It highlights the role of AI-powered robots in improving productivity, reducing human error and enabling human-robot collaboration. The paper also discusses key challenges such as safety, security, ethical concerns and the need for advanced algorithms. Furthermore, it examines the evolution of AI from its early stages to the present era of deep learning and big data. The findings suggest that while robotics and AI offer immense potential for societal and industrial advancement, responsible development, ethical frameworks and regulatory measures are essential to ensure safe and beneficial implementation in the future.Keywords: Robotics, Artificial Intelligence (AI), Machine Learning, Deep Learning, Automation, Human-Robot Interaction, Industrial Applications, Healthcare Robotics, Ethical Issues in AI, Intelligent Systems.

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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
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