Containing Behavioral Cascades from Manipulated Claims in LLM-Powered Multi-Robot Systems

arXiv:2609.30523 · cs.RO · Submitted 2026-09-24 · Read on arXiv

cs.RO

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Verification — 44× in this paper · explained in 2 episodes
• Verifier — 6× in this paper · explained in 2 episodes
• Task Planning — 3× in this paper · explained in 2 episodes
• Active Perception — 2× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Grounding — 2× in this paper · explained in 3 episodes
• Sum of Costs — 2× in this paper
• Affordance — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• PaLM-E: An Embodied Multimodal Language Model
• Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
• Ignore Previous Prompt: Attack Techniques For Language Models
• Distributed Control of Multi-Robot Systems in the Presence of Deception and Denial of Service Attacks
• SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
• Prompt Injection attack against LLM-integrated Applications
• RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
• SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning
• The Dark Side of Trust: Authority Citation-Driven Jailbreak Attacks on Large Language Models
• SOTER: A Runtime Assurance Framework for Programming Safe Robotics Systems

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