Securing Embodied AI: A Deep Dive into LLM-Controlled Robotics Vulnerabilities

This survey paper addresses a critical and often overlooked aspect of LLM integration: the security implications when these models control physical systems. The focus on the "embodiment gap" and the transition from text-based threats to physical actions is particularly relevant, highlighting the need for specialized security measures. The paper's value lies in its systematic approach to categorizing threats and defenses, providing a valuable resource for researchers and practitioners in the field.