arXiv 2610.03391 · cs.CV · 2026-10-02
Native Action-Prior Learning from Videos for World Action Models
Zhaochong An, Fei Zhang, Menglin Jia, Duncan Frost, Zijian Zhou, Yikai Wang, Xudong Wang, Aditya Patel and 5 more
Meta
In latest · #241 Added on 2026-10-21
One-line takeaway
NAVA-WAM pretrains the action policy directly from observation-only videos, reducing reliance on action-labelled robot data.
NAVA-WAM 直接用无动作标注的视频预训练动作策略，降低世界-动作模型对机器人标注数据的依赖。
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Topics & disciplines
More on Robotics & embodied AI
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- GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives ▲310
- Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Human Experience ▲179
About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.