arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2606.27929cs.RO

当多机器人系统遇见智能体AI:迈向具身集体智能

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

College of Information Science and Electronic Engineering, Zhejiang University(浙江大学信息与电子工程学院)

Yuxuan Yan, Yuanyuan Jia, Qianqian Yang

AI总结:

本文提出具身集体智能(ECI)范式,通过共感知、共行动和共演化使机器人团队共享世界上下文、任务进度和技能经验,并以导航实验验证共享世界记忆继承的有效性。

摘要:

具身AI正日益变得智能体化,将机器人从感知-控制流水线转变为能够检索上下文、在执行中深思、监控反馈并优化未来行为的闭环系统。与此同时,机器人研究也从单机器人自主转向多机器人系统,这由对更广感知、分布式行动、异构能力和容错性的需求驱动。随着AI智能体从单智能体使用转向多智能体协作,机器人面临一个并行挑战:机器人团队必须超越共享地图、任务分配和数据集,转向共享由具身智能体循环产生的状态。本文探讨了具身集体智能(ECI),一种未来的多机器人范式,其中机器人团队积累并使用世界上下文、任务进度和技能经验作为共享资源。具体来说,我们首先回顾了具身AI如何变得智能体化以及多机器人合作如何演变。然后,我们通过共感知、共行动和共演化来呈现具身集体智能。最后,我们使用一个说明性的导航研究来检验该概念的一个具体组成部分:共享世界记忆继承。该研究表明,新加入的机器人可以从合并的团队记忆中受益,但这并非对ECI框架的完整评估。总之,综述和概念框架将具身集体智能作为具身多智能体智能的一个方向,而案例研究则奠定了该概念中一个可测量部分的基础。

英文摘要:

Embodied AI is increasingly becoming agentic, shifting robots from perception--control pipelines towards closed-loop systems that can retrieve context, deliberate during execution, monitor feedback, and refine future behavior. In parallel, robotics research has also moved from single-robot autonomy towards multi-robot systems, driven by the need for wider sensing, distributed action, heterogeneous capabilities, and fault tolerance. As AI agents move from single-agent use towards multi-agent collaboration, robotics faces a parallel challenge: robot teams must move beyond sharing maps, task assignments, and datasets towards sharing the state produced by embodied agent loops. This article explores Embodied Collective Intelligence (ECI), a future multi-robot paradigm in which a robot team accumulates and uses world context, task progress, and skill experience as shared resources. Specifically, we first review how embodied AI is becoming agentic and how multi-robot cooperation has evolved. We then present Embodied Collective Intelligence through Co-Perception, Co-Action, and Co-Evolution. Finally, we use an illustrative navigation study to examine one concrete component of the concept: shared world-memory inheritance. The study shows that a newly added robot can benefit from merged team memory, but it is not intended as a full evaluation of the ECI framework. Taken together, the review and conceptual framework motivate Embodied Collective Intelligence as a direction for embodied multi-agent intelligence, while the case study grounds one measurable part of the concept.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑