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FLEX: Flexibly editing robot task feature representations with three natural language operations

arXiv cs.RO

The paper proposes the Flexible Feature Editing Pipeline (FLEX), which uses a language model to iteratively correct a robot's internal representation of task features based on natural language corrections through three complementary operations: Add, Generalize, and Mask.

Part of the event: FLEX language-guided representation editing method accepted to CoRL 2026

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