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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Autonomous Systems: challenges and opportunities

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  • Autonomous Systems: challenges and opportunities

David Shamoo Excel *

University of Florida, United States of America.
 
Review Article
World Journal of Advanced Research and Reviews, 2024, 23(03), 631-641
Article DOI: 10.30574/wjarr.2024.23.3.2727
DOI url: https://doi.org/10.30574/wjarr.2024.23.3.2727
 
Received on 26 July 2024; revised on 02 September 2024; accepted on 04 September 2024
 
The dawn of Autonomous Systems has marked a pivotal transformation in the realm of technology, establishing new paradigms in various industries, from healthcare to transportation. These systems, characterized by their ability to operate without human intervention, promise enhanced efficiency, precision, and adaptability in tasks otherwise prone to human error or constraints. However, as with all revolutionary innovations, they bring forth a plethora of challenges. This paper aims to provide a comprehensive exploration of Autonomous Systems, discussing their architectures, applications, and the intricacies of their operation. We delve into the pressing challenges, both ethical and technical, and speculate on the potential future trajectories of this transformative technology. By amalgamating insights from diverse disciplines, this paper offers a holistic perspective on Autonomous Systems, setting the stage for informed discourse and future research endeavors.
 
Autonomous Systems; Artificial Intelligence; Ethical Challenges; Technical Robustness; Future Trajectories.
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-2727.pdf

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David Shamoo Excel. Autonomous Systems: challenges and opportunities. World Journal of Advanced Research and Reviews, 2024, 23(3), 631-641. Article DOI: https://doi.org/10.30574/wjarr.2024.23.3.2727

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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