What breaks embodied AI security: LLM vulnerabilities, CPS flaws, or something else?
Embodied AI systems (e.g., autonomous vehicles, service robots, and LLM-driven interactive agents) are rapidly transitioning from controlled environments to safety-critical real-world deployments. Unlike disembodied AI, failures in embodied intelligence lead to irreversible physical consequences, ra...
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| 主要な著者: | , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2026-06-01
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| シリーズ: | High-Confidence Computing |
| 主題: | |
| オンライン・アクセス: | http://www.sciencedirect.com/science/article/pii/S266729522600022X |
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