AI RESEARCH
Bimanual Robot Manipulation via Multi-Agent In-Context Learning
arXiv CS.AI
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ArXi:2604.20348v1 Announce Type: cross 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 without any task-specific