الباحثون

Fangcheng Liu

المنشورات 2

نسخة أولية وصول مفتوح

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

Fangcheng Liu, Yeqing Shen, Anda Cheng وآخرون · 2026

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 …

نسخة أولية وصول مفتوح

What Matters in Designing World Action Models: An Empirical Study

Chao Tang, Haoqing Wang, Zilang Cen وآخرون · 2026

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 …

المؤلفون المشاركون