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About this paper
Raman Talwar, Elias Nijs, Andreas Verleysen, Francis wyffels
The authors present a locally run vision-language coding agent that adapts hand-written robot skills to new object variations. Using Qwen3.8-27B, it remeasures scenes, writes and executes perception and control code, and verifies outcomes on a UR3e. It completed 30 of 45 trials without intervention across nine toy tasks, within tested object and task variation only.
Summary by alphaXiv.
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