HeteroHub: An Applicable Data Management Framework for Heterogeneous Multi-Embodied Agent System
Heterogeneous Multi-Embodied Agent Systems involve coordinating multiple embodied agents with diverse capabilities to accomplish tasks in dynamic environments. This process requires the collection, generation, and consumption of massive, heterogeneous data, which primarily falls into three categories: static knowledge regarding the agents, tasks, and environments; multimodal training datasets tailored for various AI models; and high-frequency sensor streams. However, existing frameworks lack a u
Record details
Published: 30 March 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 14 July 2026
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ethics.ai (30 March 2026), “HeteroHub: An Applicable Data Management Framework for Heterogeneous Multi-Embodied Agent System,” evidence record 6607, https://ethics.ai/record/6607 (originally published by arXiv).
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