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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.17730 |
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| _version_ | 1866912289028833280 |
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| author | Lera, Francisco J. Rodríguez Lorenzo, Yoana Pita Hidalgo, David Sobrín Becerra, Laura Fernández Fernández, Irene González Hernández, Jose Miguel Guerrero |
| author_facet | Lera, Francisco J. Rodríguez Lorenzo, Yoana Pita Hidalgo, David Sobrín Becerra, Laura Fernández Fernández, Irene González Hernández, Jose Miguel Guerrero |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_17730 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Aportes para el cumplimiento del Reglamento (UE) 2024/1689 en robótica y sistemas autónomos Lera, Francisco J. Rodríguez Lorenzo, Yoana Pita Hidalgo, David Sobrín Becerra, Laura Fernández Fernández, Irene González Hernández, Jose Miguel Guerrero Robotics Artificial Intelligence Cryptography and Security 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. |
| title | Aportes para el cumplimiento del Reglamento (UE) 2024/1689 en robótica y sistemas autónomos |
| topic | Robotics Artificial Intelligence Cryptography and Security |
| url | https://arxiv.org/abs/2503.17730 |