arXiv · 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·· 4 小时前AI 评分32
物理AI：概念、技术与挑战
Physical AI: Concepts, Techniques, and Challenges
AI 导读
该专著构建了物理AI统一框架，将其定义为在现实约束下通过持续反馈感知、建模并作用于物理世界的系统。 专著共388页、64张图，涵盖多模态感知、世界模型及具身基础模型，并重点探讨Sim-to-Real迁移、可靠性与评估等核心问题。 旨在推动从窄域自动化向可泛化物理AI及物理AGI发展。
来源：arXiv · AI · arxiv.org