In the practical deployment of vision--language--action policies, handling long-tailed task distributions is a common challenge due to the highly imbalanced composition of robot demonstration datasets. To investigate this issue, we study the head-task action bias in shared robot policies, particularly focusing on its r...
Wei-Wei Chen, Cheng-Hao Xu, Mei-Ling Yu et al.· 0 citations
This paper proposes TemMEGA (Temporal Masked Generative Modeling), a unified framework capable of handling both online and offline camera movement generation, and demonstrates its superiority in both online and offline camera movement synthesis.
Cheng-Hao Xu, Guangtao Lyu, Jiexi Yan et al.· Neural Information Processin...· 2 citations
Long-horizon robot policies require compact access to recent observations and reusable experience without expanding the vision-language-action (VLA) context. We introduce Remember Smarter (RS), a plug-and-play module with complementary visual-history and hyperbolic experience-memory branches. Its visual branch compress...
Dai Zhou, Jiexi Yan, Tong Li et al.· 0 citations
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