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Easier Said Than Done: Unpacking Intent-Behavior Gap in Jailbreaking LLM-based Robots
LLM-based robots use Large Language Models (LLMs) as planners to translate natural language instructions into policies such as grasp(), move_to(), and open_gripper(). Jailbreak attacks on these robots extend the threat from generating malicious content to executing harmful behaviors. However, we fin
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