International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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AI-Driven Industrial Robotics: Revolutionizing Automation with Machine Learning and Intelligent Adaptation

Author(s) Koushik Paul, Laiba Nafees, Abhradeep Hazra, Sayandip Ghosh
Country India
Abstract The domain of industrial robotics is experiencing a significant and continuous expansion. With the advancements in artificial intelligence(AI) and machine learning(ML), the strategies for creating and controlling robots have gained paramount importance. With the increasing advancements in artificial intelligence(AI) and machine learning(ML), robots are being developed with enhanced decision making capabilities,intelligence, and adaptability to the environment. These robots can function collaboratively and adjust to changes in their surroundings,akin to human behaviour. Some very important applications of AI and ML in advanced robotics include autonomous navigation, object recognition and manipulation,natural language processing and understanding and predictive maintenance. Data learning(DL) , a subfield of artificial intelligence(AI), enables robots to process and learn from vast amounts of data, enhancing their ability to make informed decisions and improve performance over time. AI and ML play a crucial role in advancements in manufacturing of assembly robots that enable them to work more efficiently, safely and intelligently. AI and ML can also be used in supply chain optimisation in order to ensure the right materials are available at the right time. AI and ML can be used in path optimisation in order to reduce time and increase efficiency. In the military AI and ML are employed for autonomous systems, threat detection, strategic planning and bomb disposal. Robotic surgery is a field where AI and ML are revolutionising the way operations are performed. The implementation of AI and ML applications in advanced robotics can significantly reduce costs associated with labour and maintenance. The integration of AI in logistics enables robots to manage inventory, sort packages, and streamline supply chain operations, enhancing efficiency and reducing operational costs. AI algorithms optimize the energy consumption of industrial robots, ensuring they operate efficiently while minimizing the power usage. This is crucial for reducing operational costs and environmental impacts. This paper presents a systematic review of today’s application of AI and ML techniques in the factory environment. Thus, the aim of the present research was to systematically analyze the scientific literature relating to the application of artificial intelligence(AI) and machine learning(ML) in the advanced robotics industry.
Keywords AI-Driven Automation, Machine Learning Robotics,Intelligent Manufacturing,Adaptive Industrial Systems
Field Engineering
Published In Volume 7, Issue 1, January-February 2025
Published On 2025-02-26
DOI https://doi.org/10.36948/ijfmr.2025.v07i01.37805
Short DOI https://doi.org/g86w65
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E-ISSN 2582-2160
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