AnalysisRoboticsSeptember 30, 2026

Two papers map in-context learning for robots

Read original source →arxiv.org

One paper proposes a "democratized recipe" for manipulation tasks, arguing robotic in-context learning is under-defined because a visual demonstration conveys action trajectories and object semantics at once. The second surveys ICL methods that direct a robot's existing competence with neural parameters held fixed.

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