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arXiv 2610.30136 · cs.RO · 2026-10-21

Agentic World Action Models

Zhuoyang Liu, Dantong Niu, Botong Zhang, Boning Shao, Jing Wang, Ruijie Zheng, Yuvan Sharma, Runyu Lu and 10 more

Affiliation unverified

In latest · #381 Added on 2026-10-25

One-line takeaway

AW-0 is an agentic world action model that jointly generates code, future video and robot actions in a mixture-of-transformers, combining reusable parameterized skill code with predictive grounding in physical dynamics.

AW-0 把代码规划和视频、动作预测合进一个混合 Transformer:代码专家生成可复用的参数化技能和控制逻辑,视频和动作专家提供物理预见,让机器人既能组合技能又有动力学依据。

25HF upvotes
–GitHub stars
0Citations (Semantic Scholar)
33.6Buzz score

Read on arXiv PDF Hugging Face discussion Project page

About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

Data updated: Latest AI papers(UTC+8)