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Refuse the Harm, Complete the Task via Graph-of-Rules Planning for LLM-Enabled Robots
Large Language Models (LLMs) are increasingly used in embodied AI for robotic manipulation and planning, but their deployment in physical systems exposes vulnerabilities such as jailbreak attacks that induce unsafe behavior. Existing inference-time defenses are mainly evaluated on short instructions
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