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What is Autonomous Mobile Robots

Big Data Analytics Techniques for Market Intelligence
It can move freely in factories or warehouses. AMRs can transport materials, tools, and finished products, optimizing logistics and reducing human intervention.
Published in Chapter:
AI and Big Data Analytics Revolutionizing Industry 5.0: Unlocking the Power of Smart Manufacturing and Beyond
Shweta Dewangan (ICFAI University, India) and Sanjeev Kumar (Lovely Professional University, India)
Copyright: © 2024 |Pages: 13
DOI: 10.4018/979-8-3693-0413-6.ch016
Abstract
This study intends to investigate the application of artificial intelligence (AI) technologies in Industry 5.0, concentrating on the joint component that promotes interaction and collaboration between humans and machines. The artificial intelligence may improve human capacities, increase productivity, and make it easier to establish new business models. In addition, the study examines the ethical concerns and societal repercussions related to the use of AI in Industry 5.0. The research outlines critical success factors, difficulties, and best practices for effectively collaboratively leveraging AI within the framework of Industry 5.0. The results of this research provide organizations and policymakers with insights and recommendations that can help them use the synergy of AI and Industry 5.0 to generate collaborative innovation and achieve sustainable growth. Human-centricity, socio-environmental sustainability, and resilience are some of the aims that Industry 5.0 has the potential to support.
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More Results
Evolutionary Multi-Objective Optimization of Autonomous Mobile Robots in Neural-Based Cognition for Behavioural Robustness
are robots that have the capability to navigate using their integrated sensors and wheel(s) independently using its onboard controllers as well as able to perform the requested tasks in an unstructured environment.
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