arXiv · cs.RO官方发布· NVIDIA, :, Anis Ahmad, Jon Allen, Malik Aqeel Anwar, Jesse Archer, Maciej Bala, Piotr Barejko, Aarti Basant, Dan Blick, Taras Bolzhelarskyi, Henry Che, Jin Chen, Yukang Chen, Tae Eun Choe, Yuzhu Dong, Nat Duca, Liang Feng, Francesco Ferroni, Xiao Fu, Mohit Gambhir, Vivek Goel, Rony Goldenthal, Aryaman Gupta, Ali Hassani, Nathan Hayes-Roth, Yong He, Michael Honke, Shengyu Huang, Wei Huang, DeLesley Hutchins, Suneel Indupuru, Pooya Jannaty, Jingyi Jin, Janmesh Kalra, Ashna Khetan, Xin Kong, Aleksandr Korovko, Hui Kuang, Zhengfei Kuang, George Kurian, Jean-Francois Lafleche, Jayjun Lee, Justin Leung, William Lew, Xiang Li, Zhaoshuo Li, Chen-Hsuan Lin, Ming-Yu Liu, Xiangyu Lu, Yuhang Lu, Martin Ding Ma, Qianli Ma, Aditya Mahajan, Miguel Martin, Janarbek Matai, Jonathan McCaffrey, Qing Miao, Ashkan Mirzaei, Mustafa Munir, Sangmin Oh, David Pankratz, Trung Pham, Marilyn Reeb, Gavriel State, Jiaxiang Tang, Shitao Tang, Yue Tang, Tolou Tavakkoli, Alexander Temirov, Hweimi Tsou, Sergei Vasilev, Thomas Volk, Andrew Z. Wang, Hao Wang, Shijie Wang, Zhonghao Wang, David Wehr, Shumian Xin, Mengyao Xu, Yao Xu, Shuai Yang, Sophia Zalewski, Pengcuo Zeren, Cindy Zha, Jing Zhang, Yuliya Zhautouskaya, Kaiwen Zheng, Andrew Zhu, Rick Zhuang·· 2 小时前精选AI 评分75
论文 / 摘要阅读
NVIDIA 提出基于 Cosmos 的实时交互式世界模拟框架
Interactive World Simulation with Cosmos for Physical AI
AI 导读 · 根据来源整理
NVIDIA 提出一个共享框架，将 Cosmos 世界基础模型适配为面向 Physical AI 的实时交互式世界模拟。该框架通过流式输出视觉观测来响应动作与场景控制，使用户和具身智能体能够与持续演化的虚拟环境交互，既支持预测动作带来的视觉后果，也支持根据外部模拟器维护的物理状态生成观测。作者在相机导航、机器人操作、可控视频迁移和多视角自动驾驶仿真中展示了这一方法，并将其定位为 Physical AI 训练与评估的交互式虚拟环境基础。代码与模型检查点已公开，项目网站同步上线。该工作为 arXiv 预印本，尚未见同行评议信息。
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