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Structured Prediction

Robot LearningML

Predicting structured outputs (sequences, graphs, configurations) where output elements are interdependent and must satisfy global consistency constraints. In robot learning, structured prediction applies to: action sequence generation (temporal consistency), scene graph prediction (relational consistency), and grasp set prediction (pose diversity and feasibility).

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