Application of Artificial Intelligence in the Management of Robotic Systems

Pavel Sidorov

Citation: Pavel Sidorov, "Application of Artificial Intelligence in the Management of Robotic Systems", Universal Library of Engineering Technology, Volume 02, Issue 01.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The article addresses the essence, features, advantages, associated challenges, and prospects of using artificial intelligence (AI) in managing robotic systems. The relevance of this topic is substantiated by the rapid development of technologies that drive the automation of processes in industries such as manufacturing, medicine, logistics, and other key sectors. The aim of the study is to analyze existing approaches to integrating AI in robotic systems, identify positive effects, systematize the most apparent drawbacks, contradictions, and challenges, and formulate the author’s perspective on future developments in this domain. Discrepancies identified in the scientific literature include variations in assessing AI’s impact on the labor market, insufficient standardization of approaches to developing management mechanisms, and the complexity of implementing ethical and legal standards in practical applications. The conclusion emphasizes that the successful development of robotic systems requires the synergy of technical, social, and legal solutions. The author has contributed to structuring knowledge on the subject, with a focus on an interdisciplinary approach. The article describes the development of a model for the robot’s motion trajectories. The presented materials will be useful to specialists in robotics, developers of intelligent systems, and researchers studying the societal and economic aspects of digitalization and automation.


Keywords: Automation, Artificial Intelligence, Robotic Systems, Robotics, Social Aspects, Management.

Download doi https://doi.org/10.70315/uloap.ulete.2025.0201003