This framework surveys manipulation, navigation, locomotion, autonomous driving, and general embodied learning, tracing technical progressions, clarifying capability requirements, and examining datasets, benchmarks, and evaluation protocols.
Nan-Jie Yao, Hao Wang, Chong Cheng et al.· 1 citation
ACE-Brain-0.5 is presented, a unified embodied foundation model that organizes robot intelligence into five coupled functions: spatial perception, decision making, embodied interaction, self-monitoring, and self-improvement, and SSR+, which extends Scaffold-Specialize-Reconcile with a Reactivate stage after task-vector...
Zi-Yang Gong, Hao-Ming Gu, Ze-Hang Luo et al.· arXiv.org· 3 citations
A full-spectrum human context taxonomy is introduced that integrates six interconnected levels by viewing humans as observable subjects through visual appearance and spatial geometry, as dynamic actors through kinematic dynamics and interaction modeling, and as situated agents through world simulation and embodied agen...
Yang Chen, Tianqi Wang, Xiao-Wen Jiang et al.· 0 citations
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