GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data

- combination of sim and real could help train robust grasping policy
- engineering example of pi-0 policy (VLM + flow matching)

#arxiv #grasp #simulation #sim2real #flow_matching

X Overview, Project Website, NVidia GraspGen

🧵 Thread • FixupX

Tuo Liu (@TuoLiuRobot)

Galbot（银河通用）has just dropped GraspVLA, the world’s first end-to-end embodied grasping model! Trained on over a billion “visual-language-action” pairs, GraspVLA is ready to handle a wide range of tasks, even the unexpected ones.

And with a little post-training…