3DVLA: Enhancing Vision-Language-Action Models via 3D Spatial and Instance Understanding 事件

3DVLA: Enhancing Vision-Language-Action Models via 3D Spatial and Instance Understanding arXiv:2605.29416v1 Announce Type: cross Abstract: Vision-Language-Action models have achieved remarkable progress in robotic manipulation, yet they suffer from a critical limitation: a lack of 3D scene understanding. This deficiency manifests as three intertwined challenges: weak extraction of 3D spatial positions without enforcing multi-view consistency, inadequate 3D instance understanding, and fragile re