EMOS (Embodiment-aware Multi-Agent Operating System) is an innovative framework designed to enhance task planning and execution in heterogeneous multi-robot systems. Key features include: Embodiment-Aware Task Planning: Utilizes large language models (LLMs) to understand and plan tasks based on the physical capabilities of different robots.

2024年11月6日 · 为解决这些问题，研究团队提出了基于LLM的多智能体框架EMOS，通过"机器人简历"机制实现对机器人物理能力的精确理解，从而实现更智能、自主的任务规划与执行。

近日，来自新加坡国立大学、香港大学、上海人工智能实验室等多家机构的联合研究团队提出了一种创新的异构多机器人操作系统EMOS (Embodiment-aware Heterogeneous Multi-robot Operating System)。 该框架基于大语言模型的 多智能体系统 (LLM-based Multi-agent System)，以机器人物理定义文件和环境信息为输入，实现了对机器人空间物理能力和任务需求的理解，从而实现了更有效的任务规划，并利用大模型工具调用（Function Call）能力，进行多机系统分布式动作的执 …

We introduce a novel multi-agent framework designed to enable effective collaboration among heterogeneous robots with varying embodiments and capabilities, along with a new benchmark named Habitat-MAS. Heterogeneous multi-robot systems (HMRS) have emerged as a powerful approach for tackling complex tasks that single robots cannot manage alone.

2024年10月30日 · To address this issue, we introduce a novel multi-agent framework designed to enable effective collaboration among heterogeneous robots with varying embodiments and capabilities, along with a new benchmark named Habitat-MAS.

2024年10月30日 · We present EMOS, a novel LLM-based MAS framework that first conducts embodiment-aware reasoning with self-generated robot resume, rather than human-assigned role playing, to operate a collaborative HMRS. Report issue for preceding element

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We introduced a multi-agent framework EMOS to improve the collaboration among heterogeneous robots with varying embodiment capabilities. To evaluate how well our MAS performs, we designed Habitat-MAS benchmark, including four tasks: 1) navigation, 2) perception, 3) manipulation, and 4) comprehensive multi-floor object rearrangement.

2011年4月20日 · 企业维护及运行管理系统 (简称EMOS),它是一种集多种应用模块于一体的集中化管理软件。 EMOS系统是以数据库技术、图形技术、网络技术、 多媒体技术 为支撑的一体化信息平台，是非常有实用价值的企业设备/设施管理系统软件。