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
This work introduces Rollback, a policy improvement paradigm that turns world models from passive simulators into counterfactual engines, and builds a scalable training system that unifies distributed world-model search with asynchronous real-robot execution, forming a self-reinforcing cycle.
Jia-Yi Luo, Yang Zhang, Li-Liang Chen et al.· 0 citations
Genie Sim PanoWorld is presented, a two-stage feed-forward pipeline that bridges generation and reconstruction via an explicit, trajectory-controllable panoramic video, and outperforms geometry-conditioned baselines in both panoramic video generation and downstream 3D reconstruction.
Yongxin Su, Linjie Hou, Feng Wang et al.· arXiv.org· 1 citation
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