Assessing VLM-Driven Semantic-Affordance Inference for Non-Humanoid Robot Morphologies
DGX agentarXiv:2604.19509v1 Announce Type: new Abstract: Vision-language models (VLMs) have demonstrated remarkable capabilities in understanding human-object interactions, but their application to robotic sys