LEARNING
Kairos：面向物理AI的原生世界模型栈
Kairos Team, Fei Wang, Shan You, Qiming Zhang, Tao Huang, Zuoyi Fu, Zhisheng Zheng, Yunlong Xi, Feng Lv, Xiaoming Wu, Zeyu Liu, Cong Wan, Pu Li, Ruiqing Yang, Xiaoou Li, Wei Wang, Kangkang Zhu, Yuwei Zhang, Shi Fu, Zheng Zhang
- 发表年份
- 2026
- 引用次数
- 0
- 访问权限
- 开放获取
摘要
Kairos提出了一种原生世界模型栈，通过跨具身数据课程和混合线性时间注意力机制，实现世界知识的获取、长期状态维护和高效部署。该工作在理论上证明了时间因子化能严格限制误差累积，为物理AI提供了基础性基础设施。
关键词
world modelphysical AIpre-trainingtemporal attentionembodiment
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