When Multi-Robot Systems Meet Agentic AI: Towards Embodied Collective Intelligence

This paper proposes “Embodied Collective Intelligence,” where robot teams share world memory, task progress, and skill experience without becoming a centralized super-agent.

Why it matters: it is a useful bridge from agentic AI to biological-style collective systems, especially the idea of shared traces and inherited local experience.

https://arxiv.org/html/2606.27929v1