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paperarXivTrust 82 · PrimaryPublished 2d agoLive · 6h ago

Native Video-Action Pretraining for Generalizable Robot Control

The advent of video-action models offers a promising path for robot control. Nevertheless, we argue that repurposing video generative models designed for digital content creation is inherently inadequate for physical environments. To bridge this gap, we present LingBot-VA 2.0, a video-action foundation model built from the ground up for embodiment. Four core design principles showcase its evolution from LingBot-VA. (1) Departing from traditional reconstruction-focused VAEs, we introduce a semantic visual-action tokenizer, which aligns visual representations with both semantics and actions, imp

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  • Linked via arxiv authorLuyao Zhang

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorQihang Zhang

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorHanlin Liu

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorShuai Yang

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorYiming Luo

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorShuaiting Li

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorRuilin Wang

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorJunke Wang

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorJiahao Shao

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorGangwei Xu

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorJiaming Zhou

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorYishu Shen

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorYudong Jin

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorFangyi Xu

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorShuailei Ma

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorJiaqi Liao

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorGuanxing Lu

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorZifan Shi

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorYongkun Wen

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorYujie Zhao

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorWeixuan Tang

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorXinyang Wang

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorChaojian Li

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorJiapeng Zhu

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorKa Leong Cheng

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorNan Xue

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorXing Zhu

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorYujun Shen

    Native Video-Action Pretraining for Generalizable Robot Control

  • Linked via arxiv authorYinghao Xu

    Native Video-Action Pretraining for Generalizable Robot Control

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