Aportes para el cumplimiento del Reglamento (UE) 2024/1689 en rob\'otica y sistemas aut\'onomos

Cybersecurity in robotics stands out as a key aspect within Regulation (EU) 2024/1689, also known as the Artificial Intelligence Act, which establishes specific guidelines for intelligent and automated systems. A fundamental distinction in this regulatory framework is the difference between robots with Artificial Intelligence (AI) and those that operate through automation systems without AI, since the former are subject to stricter security requirements due to their learning and autonomy capabilities. This work analyzes cybersecurity tools applicable to advanced robotic systems, with special emphasis on the protection of knowledge bases in cognitive architectures. Furthermore, a list of basic tools is proposed to guarantee the security, integrity, and resilience of these systems, and a practical case is presented, focused on the analysis of robot knowledge management, where ten evaluation criteria are defined to ensure compliance with the regulation and reduce risks in human-robot interaction (HRI) environments.

Publication Details

Journal
ArXiv.org
Published
2025-03-22
Primary Topic
Law, Ethics, and AI Impact
Type
article
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article

Aportes para el cumplimiento del Reglamento (UE) 2024/1689 en rob\'otica y sistemas aut\'onomos

ArXiv.org
Law, Ethics, and AI Impact
article

Aportes para el cumplimiento del Reglamento (UE) 2024/1689 en rob\'otica y sistemas aut\'onomos

article en

Abstract

Cybersecurity in robotics stands out as a key aspect within Regulation (EU) 2024/1689, also known as the Artificial Intelligence Act, which establishes specific guidelines for intelligent and automated systems. A fundamental distinction in this regulatory framework is the difference between robots with Artificial Intelligence (AI) and those that operate through automation systems without AI, since the former are subject to stricter security requirements due to their learning and autonomy capabilities. This work analyzes cybersecurity tools applicable to advanced robotic systems, with special emphasis on the protection of knowledge bases in cognitive architectures. Furthermore, a list of basic tools is proposed to guarantee the security, integrity, and resilience of these systems, and a practical case is presented, focused on the analysis of robot knowledge management, where ten evaluation criteria are defined to ensure compliance with the regulation and reduce risks in human-robot interaction (HRI) environments.

ArXiv.org
Openalex Percentile: Top 42%
Law, Ethics, and AI Impact
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