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Preprint Oct 2026

TS-WAM: Temporal Latent Actions and World-Action Coupling for Vision-Language Robot Control

Many vision-language-action policies rely on action-labeled robot demonstrations and lack an explicit mechanism for predicting future visual states. These limitations hinder learning from action-free videos and can encourage overfitting to demonstration conditions, weakening generalization and robustness. We present TS...

Meng-Hao Yin, Jia-Ju Yin, Xi-Yue Dong et al. · 0 citations
Preprint Sep 2026

Behavior-Aligned Action Tokenization for Robot Policy Learning

Autoregressive robot policies learn continuous control by predicting discrete action tokens from observations. Different tasks often share local motions, yet behavioral correspondence across demonstrations receives limited explicit supervision in existing tokenizers. Motions with different timing can therefore lack a s...

Ju Dong, Ze Chen, Zhen-Dong Xie et al. · 1 citation · ⚡1

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