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English(EN) GRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors

GRAIL 管道为人形机器人生成用于 sim-to-real 迁移的数据

研究人员开发了 GRAIL,一个用于生成人形机器人运动和操控数据的新型管道。该系统利用 3D 资产组合和视频基础模型在虚拟环境中创建多样化的交互序列。生成的数据已成功用于在 Unitree G1 人形机器人上训练真实世界的策略,以完成拾取物体和爬楼梯等任务。 AI

影响 通过提供用于 sim-to-real 迁移的多样化合成数据,能够更有效地训练人形机器人。

排序理由 该集群包含一篇学术论文,详细介绍了一种用于生成机器人控制合成数据的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

GRAIL 管道为人形机器人生成用于 sim-to-real 迁移的数据

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该集群包含一篇学术论文,详细介绍了一种用于生成机器人控制合成数据的新方法。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    GRAIL: 从 3D 资产和视频先验生成人形机器人运动操控

    GRAIL generates diverse humanoid manipulation and locomotion data through 3D asset composition and video foundation models, enabling effective sim-to-real transfer for robot control.