Author

Yu Liu

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Preprint Sep 2026

ME-Brain-1.0: Memory, Cognition and Action for Evolving Embodied Intelligence

MachEmbodied-Brain (ME-Brain) is introduced, a self-evolving embodied system organized around a closed loop of action execution, experience acquisition, experience evolution, and improved execution that shifts embodied intelligence from train-and-freeze to deploy-and-evolve without model retraining.

Wei He, Heng-Tao Li, Chen-Feng Wang et al. · 0 citations

Preprint Sep 2026

MachEmbodied-U0: Unified Understanding and Generation Model for Embodied Intelligence

General-purpose robot control requires models to understand task intent, identify where to interact, capture how the scene evolves, and generate precise actions. Vision-language-action models provide strong semantic priors but typically do not explicitly model scene dynamics, while world-action models couple visual pre...

Hao-Ran Wen, Wen-Fu Wang, Kun-Song Shi et al. · 1 citation