GeoAlign: Beyond Semantics with State-Guided Spatial Alignment in VLA Models
GeoAlign introduces a method for Vision-Language-Action (VLA) models to ground their actions in spatial geometry. It uses robot state to query pre-trained RGB geometry features, generating compact, phase-dependent geometry tokens. This allows VLA policies to incorporate fine-grained geometric alignment directly into execution, improving performance on tasks requiring precise manipulation.