Bimanual Robot Manipulation via Multi-Agent In-Context Learning.

arXiv:2604.20348v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have emerged as powerful reasoning engines for embodied control. In particular, In-Context Learning (ICL) enables off-the-shelf, text-only LLMs to predict robot actions with