“In-Context Robot Learning with VLM Agents”
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“In-Context Robot Learning with VLM Agents” Most robots need lots of task-specific training before they can do something new. This paper shows you can instead just show a general VLM what to do and let it adapt directly from context. GPT-Policy essentially turns robot learning into prompting. So they gave the frozen VLM an example of the task, even just a human video with no robot action labels, and it can translate what it sees into robot actions on the fly. This brings few-shot learning into the physical world, where teaching a robot a new behavior could look more like showing it an examp
Posted by alphaXiv (55.9k followers) 1 days ago · 180 likes · 10.6k views · view the original post on X. Kept by the AI Radar as AI research. Tools mentioned: alphaXiv.
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