Cumplimiento del Reglamento (UE) 2024/1689 en robótica y sistemas autónomos: una revisión sistemática de la literatura
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866914025557721088 |
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| author | Lorenzo, Yoana Pita |
| author_facet | Lorenzo, Yoana Pita |
| contents | This systematic literature review analyzes the current state of compliance with Regulation (EU) 2024/1689 in autonomous robotic systems, focusing on cybersecurity frameworks and methodologies. Using the PRISMA protocol, 22 studies were selected from 243 initial records across IEEE Xplore, ACM DL, Scopus, and Web of Science. Findings reveal partial regulatory alignment: while progress has been made in risk management and encrypted communications, significant gaps persist in explainability modules, real-time human oversight, and knowledge base traceability. Only 40% of reviewed solutions explicitly address transparency requirements, and 30% implement failure intervention mechanisms. The study concludes that modular approaches integrating risk, supervision, and continuous auditing are essential to meet the AI Act mandates in autonomous robotics. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_05380 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Cumplimiento del Reglamento (UE) 2024/1689 en robótica y sistemas autónomos: una revisión sistemática de la literatura Lorenzo, Yoana Pita Computers and Society Artificial Intelligence Cryptography and Security Robotics This systematic literature review analyzes the current state of compliance with Regulation (EU) 2024/1689 in autonomous robotic systems, focusing on cybersecurity frameworks and methodologies. Using the PRISMA protocol, 22 studies were selected from 243 initial records across IEEE Xplore, ACM DL, Scopus, and Web of Science. Findings reveal partial regulatory alignment: while progress has been made in risk management and encrypted communications, significant gaps persist in explainability modules, real-time human oversight, and knowledge base traceability. Only 40% of reviewed solutions explicitly address transparency requirements, and 30% implement failure intervention mechanisms. The study concludes that modular approaches integrating risk, supervision, and continuous auditing are essential to meet the AI Act mandates in autonomous robotics. |
| title | Cumplimiento del Reglamento (UE) 2024/1689 en robótica y sistemas autónomos: una revisión sistemática de la literatura |
| topic | Computers and Society Artificial Intelligence Cryptography and Security Robotics |
| url | https://arxiv.org/abs/2509.05380 |