EMERGING TRENDS IN INDUSTRIAL AUTOMATION AND ROBOTICS
Author(s):
GAGAN RAJ C
Keywords:
Automation, Manufacturing Industry, MSME Industry, MSME
Abstract
Industrial automation is undergoing rapid advancements, driven by technological breakthroughs and the need to aid increased efficiency and productivity. This review paper aims to consider and explore the key emerging trends in industrial automation and their implications for various industries. By analyzing recent research and industry developments, this paper highlights the objective of identifying and understanding these trends to help businesses stay competitive in the evolving landscape. The paper discusses several prominent emerging trends in industrial automation. Firstly, the integration of artificial intelligence (AI) and machine learning (ML) techniques is transforming traditional automation systems, enabling intelligent decision-making, adaptive control, and optimized processes. Secondly, the Internet of Things (IoT) is revolutionizing industrial automation by connecting devices, sensors, and machines, resulting in real-time data exchange, predictive maintenance, and enhanced operational visibility. Additionally, the advancements in robotics and automation are driving the automation of complex tasks, collaborative human-robot interaction, and the emergence of autonomous systems. The paper delves into the applications, benefits, and challenges associated with the robotic technologies. Furthermore, big- data analytics plays a crucial role in industrial automation, providing actionable insights from vast amounts of data, enabling predictive maintenance, process optimization, and improved resource allocation. Through a comprehensive analysis and discussion, this review paper evaluates the impact of these emerging trends on industries, workers, and business strategies. It identifies common themes, challenges, and potential synergies among these trends, and explores their implications for future industrial automation systems. By understanding these emerging trends, industries can make informed decisions regarding technology adoption, process optimization, and workforce planning, ultimately driving innovation and growth
Article Details
Unique Paper ID: 161252

Publication Volume & Issue: Volume 10, Issue 3

Page(s): 64 - 72
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