From Reals to Logic and Back: Inventing Symbolic Vocabularies, Actions and Models for Planning from Raw Data
The study focuses on overcoming the complexity of long-horizon robot planning problems by autonomously learning logic-based relational representations from raw, high-dimensional robot trajectories. The researchers developed an approach that learns…
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