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Morning Edition · Friday, September 11, 2026Published at 2:22 AM EDT · New York
Skild AI's S1 Learns Robot Tasks From One Video Without Weight Updates
The model reports 66 percent success on unseen tasks against 9 percent for an equivalent language-prompted policy, on jobs running up to ten minutes.
Skild AI's S1 robot foundation model takes a single human video of a task and executes it, without task-specific post-training and without updating weights. That is in-context learning applied to physical action, and it changes the unit of…
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Robotics Foundation Models for Embodied AI
Over the coming months, labs ship general-purpose robotics model suites that bridge vision-language understanding to physical navigation and manipulation, pushing foundation models into embodied action.
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