This monograph seeks to define physical AI, present its technical landscape, and examine each key technical subfield in depth, and establishes a unified framework for Physical AI: artificial systems that perceive, model, and act upon the physical world through continuous feedback under real-world constraints.
Wei-Nan Zhang, Chun-Hua Shen, Tian-Fan Xue et al.· 0 citations
GPT-6 Astra exhibits a remarkable ability to generate numerical robot actions, extending its role beyond high-level planning. To assess Astra's capabilities as general-purpose embodied policies, we conduct comprehensive evaluations across six domains, examining direct control, cooperation with learned policies, and fee...
Galbot Team Xuchuan Chen, Xiao-Qi Cheng, Yu Deng et al.· 0 citations
The RoboSynChallenge competition introduces a unified benchmark to evaluate and advance the generalizability of manipulation policies across a spectrum of tasks, environments, and difficulty levels and aims to foster the development of broadly capable, data-efficient, and adaptable manipulation systems, thereby paving...
Runyi Zhao, Rui-Han Wu, Cheng-Kun Li et al.· 0 citations
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