DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping

Understand

Dexterous grasping remains a fundamental yet challenging problem in robotics.

• A general-purpose robot must be capable of grasping diverse objects in arbitrary scenarios.
• However, existing research typically relies on restrictive assumptions, such as single-object settings or limited environments, showing constrained generalization.
• We present DexGraspVLA, a hierarchical framework for robust generalization in language-guided general dexterous grasping and beyond.