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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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China: All Local Post Offices
 
   
      1 Jan 2023, Volume 38 Issue 1   
    Article

    Abstract

    Robots and Intelligence are turning into more prevalent in automobile production. The speedup of this disruptive technologies has streamlined procedures in a numerous manufacturing firm. Robots and use of advanced AI technologies that are highly time and cost effective are progressively improving efficiency and productivity. Automation levels are projected to climb high in near future, cutting process turnaround times and improving overall quality of end service. Increasing and improving AI enabled robots will mechanize overall monitoring and control of industry processes. This paper focuses on describing the current practices used by the Indian Car Manufacturing and finding where AI robots, also known as artificial agents, can be used work in real-world settings. Manufacturers are shifting away from traditional automation methods and towards ones that use autonomous learning because of advancements in robotics and AI. In addition to that, Robots can now adapt to changes in input from humans and the environment, in addition to completing conventional jobs. Further this paper investigates complexities involved in integrating Intelligent Robotic Process automation and solution which suggests that there are many more processes that are automated even though they require a human Help that needs more automation and one of the possible solutions is using AI in current Robotic Process Environment. Finally paper projects on futuristic approach the car manufacturing will use to build efficacy and efficiency in automotive production.

    Keyword

    Indian Car, Car Manufacturing, Robotic Process Automation, Artificial Intelligence


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ISSN 1004-9037

         

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