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English(EN) Intelligent Automation for Embodied Benchmark Construction: Pipelines, Embodiments, Simulators, and Trends

调查勾勒出AI具身智能基准构建趋势

一篇新发表在arXiv上的调查论文详细介绍了构建具身智能基准的挑战和趋势。该论文概述了一个为期五阶段的基准构建流水线,从手动方法过渡到基础模型辅助和自主工作流。论文总结道,虽然自动化可以降低成本,但通常会将费用转移到验证、可审计性和治理等领域,强调了对可诊断和可负责任地更新的构建流水线的需求。 AI

影响 强调了构建稳健且可审计的基准流水线对于推进具身AI能力的关键需求。

排序理由 这是一篇关于研究主题的调查论文。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

调查勾勒出AI具身智能基准构建趋势

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这是一篇关于研究主题的调查论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Jinshan Lai, Jianwei Hu, Baoyang Jiang, Fengchun Zhang, Leyuan Wang, Haotian Li, Yida Wang, Tingxuan Huang, Xi Ren, Qiang Ma ·

    面向具身基准构建的智能自动化:流水线、具身、模拟器和趋势

    arXiv:2606.12207v1 Announce Type: cross Abstract: Embodied intelligence now spans navigation, household assistance, manipulation, autonomous driving, aerial agents, and multimodal large-model control. This expansion has made benchmark construction a central bottleneck for reliabl…

  2. arXiv cs.AI TIER_1 English(EN) · Qiang Ma ·

    面向具身基准构建的智能自动化:流水线、具身、模拟器和趋势

    Embodied intelligence now spans navigation, household assistance, manipulation, autonomous driving, aerial agents, and multimodal large-model control. This expansion has made benchmark construction a central bottleneck for reliable evaluation. Unlike static datasets, embodied ben…