English(EN) Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence

LingBot-Video：开源专家混合模型视频用于具身AI发布

作者 PulseAugur 编辑部 · [3 个来源] · 2026-07-08 00:00

研究人员推出LingBot-Video，一个专为具身智能应用设计的创新视频预训练框架。该框架采用了专家混合（MoE）架构、扩散Transformer（DiT）和专门的数据增强技术。该系统使用多维度奖励系统进行训练，以确保物理合理性和任务完成，旨在弥合数字创意与物理机器人之间的差距。 AI

影响这个开源的专家混合模型视频通过提供理解动作和世界动态的基础，有望加速机器人和具身AI领域的研究与开发。

排序理由该集群描述了一篇详细介绍新模型架构及其应用的研究论文。

AI 生成摘要 · Google Gemini · 来自 3 个来源。我们如何撰写摘要 →

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Newsworthiness bucket: Research; 该集群描述了一篇详细介绍新模型架构及其应用的研究论文。
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Topics: model release, paper, product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
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Hugging Face Daily Papers TIER_1 English(EN) · 2026-07-08 00:00

为具身智能扩展专家混合视频预训练

LingBot-Video presents a DiT-based video pretraining framework with Mixture-of-Experts architecture, specialized data augmentation, and multi-dimensional reward system for embodied intelligence applications.
arXiv cs.CV TIER_1 English(EN) · Shuailei Ma, Jiaqi Liao, Xinyang Wang, Jingjing Wang, Chaoran Feng, Zijing Hu, Chong Bao, Zichen Xi, Yuqi Gan, Weisen Wang, Yanhong Zeng, Qin Zhao, Zifan Shi, Wei Wu, Hao Ouyang, Qiuyu Wang, Shangzhan Zhang, Jiahao Shao, Yipengjing Sun, Liangxiao Hu, Lun… · 2026-07-09 04:00

面向具身智能的可扩展混合专家视频预训练

arXiv:2607.07675v1 Announce Type: new Abstract: Despite the recent promise in robot control, video generative models suffer from a domain mismatch due to their primary focus on content creation. For example, their design inherently prioritizes visual fidelity and creativity over …
arXiv cs.CV TIER_1 English(EN) · Ka Leong Cheng · 2026-07-08 17:33

扩展混合专家模型视频预训练以实现具身智能

Despite the recent promise in robot control, video generative models suffer from a domain mismatch due to their primary focus on content creation. For example, their design inherently prioritizes visual fidelity and creativity over computational efficiency and physical realism. I…