Automation Using Robots, Machine Learning, and Artificial Intelligence to Enhance Production and Quality
Guna Sekhar Sajja, Santosh Reddy Addula
Abstract
Automating everyday jobs, expanding production, and improving quality are all examples of how the integration of robotic automation and machine intelligence (AI) is causing activities to change. The purpose of this study is to examine the relationship between artificial intelligence (AI) and robotics, specifically focusing on how machine intelligence (ML) algorithms and AI approaches enable androids to do complicated jobs with greater efficiency and precision. Through the automation of everyday and repetitive tasks, organizations can redirect their workers into activities that are more important and innovative. Automated systems that are driven by artificial intelligence can learn and adapt from data, therefore rebuilding their performance over time and ensuring logical quality. This strategy not only increases productivity but also decreases the number of mistakes and the expenses associated with it. It is important to note that the associations of these gadgets stretch across a variety of fields, including manufacturing, healthcare, management, and departments that interact with consumers. This highlights the potential for wider financial and friendly advantages. A discussion of the difficulties and opportunities associated with the integration of mechanics is presented in the last section of the study. Particular attention is paid to the relevance of ongoing innovation and ethical considerations in the configuration of artificial intelligence and robotics.