As egocentric video becomes increasingly available for embodied learning, an important research question is how to turn this low-cost, scalable source of data into robot manipulation capabilities. Egocentric videos naturally provide rich context for high-level task understanding, while real-robot demonstrations with wr...
Ke-Ru Zhou, Zhi-Rui Fang, Xin-Run Xu et al.· 0 citations
These system-level results suggest that through the division of different functional sub-tasks among multiple agents and their concurrent collaboration, as well as the technical paradigm where the model is regarded as a skill and called within the framework, EMERGE-Policy can extend the robust robot policies beyond iso...
Zhile Fang, Qing-Chi Yu, Ziping Chen et al.· 0 citations
This work proposes CF-VLA, a coarse-to-fine two-stage formulation that restructures action generation into a coarse initialization step that constructs an action-aware starting point, followed by a single-step local refinement that corrects residual errors.
Fan Du, Feng Yan, Jian-Xiong Wu et al.· arXiv.org· 0 citations
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