Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision

Alessandro Adami, Tommaso Tubaldo, Marco Todescato +2

Vision-Language Models (VLMs) have recently demonstrated strong capabilities in mapping multimodal observations to robot behaviors. However, most current approaches rely on end-to-…