---
id: 20261029-T0-08
title: "OmniBrain-0：面向具身智能的统一智能体模型"
title_en: "OmniBrain-0: A Unified Agentic Model for Embodied Intelligence"
url: https://ai.daily.yangsir.net/daily/20261029-T0-08
issue_date: 2026-10-29
publish_date: 2026-10-28T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2610.36013
---

# OmniBrain-0：面向具身智能的统一智能体模型

arXiv 新论文提出 OmniBrain-0，一个面向具身智能的统一智能体模型。论文指出，通用具身智能要求机器人在长时间跨度内协调多种技能、跟踪任务进度并从失败中恢复。单一专用策略无法保证任务级可靠性，而现有多模态智能体又存在局限。OmniBrain-0 试图用统一模型整合这些能力。对机器人研究者的意义在于：任务级可靠性正成为具身智能的评价重点，而不只是单项技能的成功率。

## English Version

**OmniBrain-0: A Unified Agentic Model for Embodied Intelligence**

A new arXiv paper introduces OmniBrain-0, a unified agentic model for embodied intelligence. The authors argue that general-purpose embodied intelligence requires robots to coordinate diverse skills over long horizons, track task progress, and recover from failures. Specialist policies alone don't ensure task-level reliability, while existing multimodal agents have limitations. OmniBrain-0 aims to unify these capabilities in one model. For robotics researchers, the takeaway is that task-level reliability—not just per-skill success rate—is becoming the key evaluation criterion.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2610.36013)

**详情页**：https://ai.daily.yangsir.net/daily/20261029-T0-08

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