Easier Said Than Done: Unpacking Intent-Behavior Gap in Jailbreaking LLM-Based Robots.
arXiv:2412.16633v5 Announce Type: replace-cross Abstract: 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 e
arXiv cs.AIResearch source·