A unified threat model for LLM-enabled robots reveals three cross-boundary attack chains from user input to unsafe physical actuation due to missing validations and unmediated crossings.
Towards embodied agentic ai: Review and classification of llm-and vlm-driven robot autonomy and interaction
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Proposes a structured concept-centric memory system for embodied agents that connects object, scene, transition, and skill memories to support coarse-to-fine retrieval and improve task performance over baselines.
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From Prompt to Physical Actuation: Holistic Threat Modeling of LLM-Enabled Robotic Systems
A unified threat model for LLM-enabled robots reveals three cross-boundary attack chains from user input to unsafe physical actuation due to missing validations and unmediated crossings.