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English(EN) DONIC: Generalist Dexterous Bimanual Tracking Control from Human Demonstrations

DONIC跟踪器从人类演示中学习通用双手机器人控制 · 跟踪到2个来源

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了DONIC，一种新颖的通用双手机器人跟踪器，能够控制两只机械手复制人类演示。DONIC使用强化学习进行训练，并结合了成功的执行和每只手的奖励，在未见过的物体和轨迹上表现出高成功率，且无需微调。该系统在BiHOI上进行了训练，这是一个包含229个物体上1,575个双手机器人交互序列的新数据集，该数据集强调了持续的双手接触。 AI

影响 这项研究推动了双手机器人操作的发展，有望在机器人领域实现更复杂、更像人类的交互。

排序理由 该集群描述了一篇详细介绍新AI模型和数据集的研究论文。

在 Hugging Face Daily Papers 阅读 →

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DONIC跟踪器从人类演示中学习通用双手机器人控制 · 跟踪到2个来源

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报道来源 [2]

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

    DONIC：基于人类演示的通用灵巧双臂跟踪控制

    DONIC is a generalist bimanual tracker trained on diverse human-motion data that uses reinforcement learning with recycled demonstrations and per-hand rewards to achieve high success on unseen objects without fine-tuning.

  2. arXiv cs.CV TIER_1 English(EN) · Mingze Sun, Ziang Cao, Yuan Fei, Qiankuan Tao, Zihan Wang, Tianqi Liu, Junhao Chen, Haiwen Diao, Fangzhou Hong, Zhaoxi Chen, Ziwei Liu ·

    DONIC：基于人类演示的通用灵巧双臂跟踪控制

    arXiv:2610.29997v1 Announce Type: cross Abstract: Despite recent progress in dexterous reference tracking, existing models focus primarily on single-hand manipulation and a limited range of interactions, leaving the bimanual dexterous behaviors common in real life unaddressed. Th…

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