RSI-Nav is introduced, a data-centric recursive self-improvement framework for navigation via policy-synchronized language-action dual bootstrapping, which unifies vision-language-to-action instruction following and vision-action-to-language instruction generation within a shared model.
Song-Ze Li, Hao-Ming Gu, Zi-Yang Gong et al.· 0 citations
Reinforcement Fine-Tuning~(RFT) has emerged as a promising paradigm for improving Vision-Language-Action~(VLA) policies, yet sparse task-level outcomes provide limited credit for intermediate transitions, especially in long-horizon manipulation. A natural approach is to model intermediate task progress and use it as de...
Yun-Peng Qing, Yi-Lun Kong, Si-Xu Lin et al.· 0 citations
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
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