2026
RAAP: Retrieval-Augmented Affordance Prediction with Cross-Image Action Alignment
ICRA 2026poster
Understanding object affordances is essential for enabling robots to perform purposeful and fine-grained interactions in diverse and unstructured environments. However, existing approaches either rely on retrieval, which is fragile due to sparsity and coverage gaps, or on large-scale models, which f…