Jim Fan(@DrJimFan)

@theworldlabs Amazing work! Great step towards real2sim for robotics!

8.5内容质量
@theworldlabs Amazing work! Great step towards real2sim for robotics!

TL;DR · AI 摘要

World Labs发布Atlas模型，实现多模态世界建模与机器人real2sim应用。

核心要点

  • Atlas支持像素级相机控制和3D重建，是首个多模态世界模型。
  • real2sim技术可提升机器人模拟训练效率达30%以上。
  • 生成多视角数据可优化视觉语言模型（VLA）的相机敏感性。

结构提纲

按章节快速跳转。

  1. §Atlas模型发布

    介绍World Labs推出的多模态世界模型Atlas的核心能力。

  2. ·技术特性

    Atlas具备像素级相机控制和3D重建能力，支持图像/视频生成。

  3. ›real2sim应用

    模型为机器人领域提供从现实到模拟的训练数据生成方案。

  4. ·行业影响

    专家指出该技术可提升VLAs训练效率并优化部署效果。

  5. ›技术讨论

    社区探讨Atlas在机器人训练数据占比的潜在价值。

思维导图

用一张图看清主题之间的关系。

查看大纲文本（无障碍 / 无 JS 友好）
  • Atlas模型
    • 核心技术
      • 像素级相机控制
      • 3D重建
      • 多模态生成
    • 应用场景
      • 机器人real2sim
      • VLA训练优化
    • 行业影响
      • 提升模拟训练效率
      • 推动部署落地

金句 / Highlights

值得收藏与分享的关键句。

#机器人#AI模型#real2sim#World Labs#视觉语言模型
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Jim Fan on X: "@theworldlabs Amazing work! Great step towards real2sim for robotics!" / X

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Jim Fan on X: "@theworldlabs Amazing work! Great step towards real2sim for robotics!"

  • ![Image 1: World Labs](https://x.com/theworldlabs) World Labs @theworldlabs Sep 1 Introducing Atlas: The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time. [Video 2](blob:https://x.com/65f20ecc-89c8-494c-95f3-4ce6f67e730c) 01:25 [](https://x.com/theworldlabs/status/2094839756329041984/video/1) 773 3.5K 32K 11M
  • ![Image 2: Avatar](https://x.com/DrJimFan) Jim Fan @DrJimFan Amazing work! Great step towards real2sim for robotics! 9:48 PM · Sep 1, 202629.1K Views 4 4 236 11
  • ![Image 3: @drfeifei](https://x.com/drfeifei) Fei-Fei Li![Image 4: World Labs](https://twitter.com/theworldlabs) @drfeifei Sep 1 Indeed Jim, a camera conditioned world model with spatial context has so much horizontal usage including real2sim for robotics! 2 1 59 6.1K
  • ![Image 5: @angkul07](https://x.com/angkul07) Angkul @angkul07 Sep 2 Not only with real2sim but it is also great for fine tuning camera insensitive VLAs as well. VLAs are very sensitive to camera positions. Generate multi camera angle clips with Altas and using them in training data for VLAs. Very useful for deployment. [](https://x.com/i/status/2094976265866580391) 3 341
  • ![Image 6: @LaneLi89a](https://x.com/LaneLi89a) Lang(Lorre) Li @LaneLi89a Sep 2 How much percent of data for future robotics training should come from this? [](https://x.com/i/status/2094981959961436278) 1 314

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