Scaling expert demonstrations alone does not enable generalist robot policies to improve from deployment. Real-world rollouts contain successes, suboptimal behavior, and failures: imitating every recorded action can reinforce poor behavior, while filtering out failures discards evidence of physical interactions and the...
Wen-Xuan Guo, Ying-Ping Liang, Zhao-Guo Wang et al.· 0 citations
GigaWorld-Policy-0.5 preserves the training benefits of future visual dynamics while improving inference efficiency for robot control, and introduces a Mixture-of-Transformers architecture that separates visual dynamics modeling and action generation into specialized experts.
GigaWorld Team, Angen Ye, Ang-Yuan Ma et al.· arXiv.org· 3 citations
Skill-Based Memory (SkillMemo) framework is proposed that implicitly decomposes long-horizon demonstrations into latent atomic skills and integrates skill-level features into a dynamic episodic memory bank for solving compositional tasks and consistently enhances both DP and VLA backbones.
Changyuan Wang, Chu-Bin Zhang, Zhen-Yu Wu et al.· 0 citations
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