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English(EN) WorldMirror: Agentic Real-to-Sim Generation of Interactive Worlds from In-the-Wild Robot Demonstrations

WorldMirror框架从机器人演示中创建交互式数字孪生

研究人员开发了WorldMirror,一个新颖的框架,旨在从机器人演示中创建真实世界环境的交互式数字孪生。这个代理式系统使用一个编码代理来分解场景、规划重建步骤并采用专门的生成工具。通过迭代地改进可执行的世界程序并利用相机姿态锚定的场景表示,WorldMirror确保了机器人交互和轨迹回放的视觉保真度、几何一致性和物理有效性。使用DROID数据集进行的实验表明,它在生成准确且交互式的模拟世界方面非常有效。 AI

影响 通过自动化从真实世界数据创建逼真的模拟环境,实现了更具可扩展性和多样性的机器人训练。

排序理由 该集群包含一篇详细介绍机器人模拟新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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

WorldMirror框架从机器人演示中创建交互式数字孪生

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该集群包含一篇详细介绍机器人模拟新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Tianling Xu, Weijie Wan, Honghao Su, Kailun Su, Junyuan Tang, Huichi Zhou, Haozheng Zhang, Qi Xiong, Ping Luo, Wenbo Ding, Tianxing Chen, Yue Chen ·

    WorldMirror:从野外机器人演示中生成交互式世界的代理实景到模拟生成

    arXiv:2610.31834v1 Announce Type: cross Abstract: Existing approaches for robot learning in simulation often require substantial manual effort to construct scenes and specify tasks, limiting training scalability and data diversity. Meanwhile, in-the-wild robot demonstrations natu…