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Author

Wei-Yan Wang

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Preprint Oct 2026

Remembering What Matters for Long-Horizon Robotic World Models

Autoregressive robot video world models based on discrete visual tokens remain unreliable over long rollout horizons. Retaining the entire generated history does not necessarily improve prediction quality. We investigate a possible memory-role conflict in Full Context decoding: persistent scene information, recent visu...

Hao Wu, Tian-Yu Shao, Sheng-Ju Qian et al. · 0 citations
Preprint Oct 2026

FutureWorlds: Learning Robotic World Models from Alternative Futures

Robotic world models predict action-conditioned future scenes, providing a foundation for understanding action outcomes. However, turning alternative predictions into useful learning signals remains challenging: similar candidates limit informative quality comparisons, while diverging trajectories require persistent ma...

Hao Wu, Sheng-Ju Qian, Wei-Yan Wang et al. · 0 citations

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