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English(EN) OTRetarget: Joint Robot and Object Motion Retargeting via Optimal Transport

新的OTRetarget方法使机器人能够模仿人类运动和物体操作

研究人员开发了OTRetarget,一种将人类运动转移到人形机器人(包括物体操作)的新颖方法。该方法使用熵最优传输来保持与地面和物体的交互一致性,即使在身体比例不同时也是如此。OTRetarget联合优化机器人和物体姿态,在机器人-物体交互方面取得了高Jaccard分数,并在模拟中实现了低深度误差。该方法已成功在物理G1人形机器人上演示了拾放等任务。 AI

影响 使机器人在复杂操作任务中能够实现更真实、更具适应性的行为。

排序理由 该集群包含一篇学术论文,详细介绍了机器人运动重定向的新方法。[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 →

新的OTRetarget方法使机器人能够模仿人类运动和物体操作

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该集群包含一篇学术论文,详细介绍了机器人运动重定向的新方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

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

    OTRetarget:通过最优传输实现机器人与物体联合运动重定向

    Transferring human motion to humanoid robots requires adapting the demonstrated motion to the robot morphology while preserving interactions with the environment. This is particularly challenging for loco-manipulation tasks, where contacts with the ground and manipulated objects …