Author

Fang-Cheng Liu

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Preprint Sep 2026

What Matters in Designing World Action Models: An Empirical Study

World Action Models (WAMs) have emerged as a promising paradigm for generalizable robot control. Despite the growing number of WAM systems, existing works often introduce unified systems that bundle together multiple design choices, such as architecture and training strategy, making it difficult to isolate individual c...

Chao Tang, Haoqing Wang, Zi-Lang Cen et al. · 0 citations

#machine learning Preprint Sep 2026

RoboICL: Embodied In-Context Learning with GPT-6 Astra

General-purpose vision-language models offer a promising way to zero-shot robot control: \gptastra{} excels at open-ended and language- or image-conditioned manipulation but remains substantially weaker on high-precision and long-horizon tasks. We introduce \emph{RoboICL}, an in-context robot-control framework that nar...

Fang-Cheng Liu, Ye-Qing Shen, An-Da Cheng et al. · 0 citations