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

arXiv: https://arxiv.org/abs/2503.17730 · HTML: https://mlsanity.com/paper/2503.17730/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 25 references that are in the map.
- First posted on arXiv 22 Mar 2025.

## Builds on (most cited first, 4 of 4)

- [Robot Operating System 2: Design, Architecture, and Uses In The Wild](https://mlsanity.com/paper/2211.07752/) (2022)
- [FogROS: An Adaptive Framework for Automating Fog Robotics Deployment](https://mlsanity.com/paper/2108.11355/) (2021)
- [Introducing the Robot Security Framework (RSF), a standardized methodology to perform security assessments in robotics](https://mlsanity.com/paper/1806.04042/) (2018)
- [Smart Cloud: Scalable Cloud Robotic Architecture for Web-powered Multi-Robot Applications](https://mlsanity.com/paper/1912.02927/) (2019)

## Abstract (arXiv)

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.