arXiv cs.AI· Weinan Zhang, Chunhua Shen, Tianfan Xue, Bin Zhao, Bingqi Jiang, Zihan Guo, Zicai Cui, Yang Li, Ming Zhou, Xinyuan Chen, Lihe Ding, Xiao Chen, Yujin Wang, Shi Guo, Junting Dong, Tao Lu, Xing Shen, Haoyu Guo, Yao Mu, Haiyong Yu, Haoxiang Ma, Fuxian Huang, Qiaojun Yu, Yunsong Zhou, Kailin Li, Zirui Wang, Yufei Xue, Weishuai Zeng, Tao Huang, Zhigang Wang, Junli Liu, Pengyuan Wu, Pingrui Zhang, Haotian Wang, Dongzhan Zhou, Jiafei Cao, Feng Yuan, Xinyi Ye, Quanli Xuan, Mulin Yu, Shangding Gu, Kaiwen Song, Dong Wang, Jiarui Li, Kehui Liu, Zhongjie Jia, Dongjiang Li, Jiacheng Bao, Haoran Yang, Zhaoqing Chen, Yiming Sun, Bowen Zhou·· 13 天前AI 评分44
物理 AI：概念、技术与挑战
Physical AI: Concepts, Techniques, and Challenges
AI 导读
该学术专著为物理 AI（Physical AI）建立了统一框架，将其定义为在真实世界约束下通过持续反馈来感知、建模并作用于物理世界的人工系统。全书共 12 章、388 页并包含 64 张图表，梳理了多模态感知、世界模型、具身基础模型及软硬件协同设计等核心方法。内容重点探讨了从仿真到真实世界迁移、实时执行与安全性等挑战，旨在推动其迈向物理通用人工智能（Physical AGI）。
来源：arXiv cs.AI · arxiv.org