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cs.RO2026
Refuse the Harm, Complete the Task via Graph-of-Rules Planning for LLM-Enabled Robots
Ali Taheri, Alireza Taban, Qizhou Wang +1
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 ja…
cs.RO2026
RoboFoundry: System-as-Policy Evolution for Self-Learning Embodied Agents
Jingsong Liang, Shuhao Liao, Shizhe Zhang +15
A foundation model should not act in isolation as an embodied agent. Yet, existing methods often optimize individual components of the agent stack, such as memory, context, skills,…