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English(EN) MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model and Smart Primitives

MotionBricks框架为机器人实现可扩展的实时运动生成

研究人员开发了MotionBricks,一个专为可扩展、实时运动合成设计的新型生成框架。该系统通过实现高吞吐量运动生成并提供灵活的多模态控制接口,解决了当前生成模型的局限性。MotionBricks已展示出最先进的运动质量,并实现了令人印象深刻的实时性能,甚至被部署在Unitree G1人形机器人上用于实际机器人控制应用。 AI

影响 为机器人和动画实现实时、高质量的运动生成,可能降低复杂应用的入门门槛。

排序理由 这是一篇详细介绍用于运动合成的新型生成模型的研究论文。

在 arXiv cs.LG 阅读 →

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

MotionBricks框架为机器人实现可扩展的实时运动生成

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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Tingwu Wang, Olivier Dionne, Michael De Ruyter, David Minor, Davis Rempe, Kaifeng Zhao, Mathis Petrovich, Ye Yuan, Chenran Li, Zhengyi Luo, Brian Robison, Xavier Blackwell, Bernardo Antoniazzi, Xue Bin Peng, Yuke Zhu, Simon Yuen ·

    MotionBricks:具有模块化潜在生成模型和智能图元的、可扩展的实时运动

    arXiv:2604.24833v1 Announce Type: cross Abstract: Despite transformative advances in generative motion synthesis, real-time interactive motion control remains dominated by traditional techniques. In this work, we identify two key challenges in bridging research and production: 1)…