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      Application of Robotics in Manufacturing Industry

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            Abstract

            ABSTRACT

            Usage for robotic systems can be found in many manufacturing companies, including stores and

            factories. Robotic systems are crucial towards the smart factory in just this modern generation of

            industry, which has resulted in a major increase in output. Organizations could lower

            manufacturing costs, increase output efficiency, and improve product and service by using robotic

            technology. This robot arm requires a substantial investment; however, it also offers substantial

            rewards. Automated machines are thus worthwhile investments because they operate productively

            in manufacture. Business robots are equipment that can be configured to carry out manufacturingrelated

            operations for automobiles. Machines are used in many numerous sectors for terms of

            installed capacity and high levels of output. These robots can perform intricate sequences of tasks.

            Production robotics can carry out a variety of tasks, including assembly as well as elements that

            enable. These are indeed created to carry out a variety of assembly tasks and decrease the time

            required to produce them. Throughout fact, Artificial Intelligence and machine learning algorithms

            were built into robotic arms that aid its manufacturers in reacting to critical situations. Robotic

            systems usage in automotive plants have risen because of the quick development of automated

            systems and robotics techniques. Many industrial machines were employed that carry out a variety

            of repeatable activities, producing high-quality output. As a result, industrialized automation has

            use in a variety of manufacturing-related tasks. It is made to be used in hazardous environments

            such as those involved in explosive disarming, thorough monitoring of radioisotopes, etc.

            Content

            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            28 November 2022
            Affiliations
            [1 ] University of Central Missouri
            Author notes
            Author information
            https://orcid.org/0000-0002-6274-3083
            Article
            10.14293/S2199-1006.1.SOR-.PPBLBAH.v1
            f3da2856-2e85-4946-b51c-8a1de9758bf1

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            : 28 November 2022
            Categories

            All data generated or analysed during this study are included in this published article (and its supplementary information files).
            Engineering

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