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Hugging Face Daily Papers· Juncheng Ma, Jiaxin Li, Jiankai Tu, Bo Liang, Guodong Lv, Yufan Deng, Junzhe Tang, Liangzhu Yang, Chen Bian, Zicong Cao, Baohao Zhu, Jianxin Bi, Tengfei Yan, Yinyuan Zhang, Kewei Zhang, Xinglong Chen, Kaiqi Chen, Duomin Wang, Xiaotian Tang, Liang Tan, Li Li, Yuan Xu, Haosen Yang, Yuqi Wang, Jingfei Xia, Songyan Huang, Zhiyang Dou, Zhen Dong, Enze Xie, Tat-Seng Chua, Daquan Zhou·· 3 天前精选AI 评分62

Open-HumanWAM 发布 5 万小时自我中心视频开源配方,探索机器人具身基础模型缩放

Open-HumanScale: An Open Recipe for Scaling Human and Robot Experience for Embodied Foundation Models

AI 导读

论文提出 Open-HumanWAM,首个完全开源的具身基础模型预训练配方,将自我中心人类视频预训练扩展到 50,000 小时,配套手工标注手部动作与自然语言的 Open-HumanWAM-50K 语料库。

推荐理由

论文开源了5万小时自我中心预训练数据与完整管线,并给出数据规模与机器人成功率的对数线性缩放规律,可复现。

来源:Hugging Face Daily Papers · arxiv.org