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Dong-Ming Wu

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#artificial intelligence Preprint Oct 2026

Vela: Scaling Vision-Language-Action Models with Adaptive Action Curve Parametrization

Most vision-language-action models represent future motion as fixed-rate action chunks, tying temporal resolution and prediction horizon to a fixed output budget. This pointwise representation wastes capacity on highly correlated neighboring actions, leaves temporal continuity and smoothness to be learned implicitly, a...

Yi-Fan Li, Jia-Xu Wang, Dong-Ming Wu et al. · 0 citations

Preprint Aug 2026

$\tau_0$-VLA: a Hierarchical Robot Foundation Model with World-Model-Guided Test-Time Computation

Across in-domain and distribution-shifted settings, allocating additional test-time computation substantially improves next-subtask prediction accuracy, and these gains translate into higher closed-loop success on long-horizon robot manipulation tasks.

Xiaowei Cai, Yunuo Cai, Bing Chen et al. · 4 citations · ⚡1