Tell Robot What Not to Do: A Negation Understanding Perspective
NegaAlign extends existing vision-language-action models to follow negated instructions using only image-language supervision. The framework introduces Negation Transformation Layers and Teacher-Guided Visual Alignment to reshape instruction representations and align visual tokens with satisfying examples. This method significantly improves the success rate of following negative constraints in both simulation and real-world manipulation tasks.