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.
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