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 等 18 人
机构待核实
在最新榜 #381 本站收录于 2026-10-25
一句话要点
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。
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.
阅读 arXiv 原文 PDF Hugging Face 讨论 项目页
主题与学科
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数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-26。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。