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title
OpenVLA: An Open-Source Vision-Language-Action Model
description
OpenVLA: An Open-Source Vision-Language-Action Model
site name
OpenVLA: An Open-Source Vision-Language-Action Model
author
updated
2026-02-23 15:31:07
raw text
OpenVLA: An Open-Source Vision-Language-Action Model OpenVLA: An Open-Source Vision-Language-Action Model Moo Jin Kim *,1 , Karl Pertsch *,1,2 , Siddharth Karamcheti *,1,3 , Ted Xiao 4 , Ashwin Balakrishna 3 , Suraj Nair 3 , Rafael Rafailov 1 , Ethan Foster 1 , Grace Lam , Pannag Sanketi 4 , Quan Vuong 5 , Thomas Kollar 3 , Benjamin Burchfiel 3 , Russ Tedrake 3,6 , Dorsa Sadigh 1 , Sergey Levine 2 , Percy Liang 1 , Chelsea Finn 1 , * Equal contribution 1 Stanford University, 2 UC Berkeley, 3 Toyota Research Institute, 4 Google DeepMind, 5 Physical Intelligence, 6 MIT, Paper Code Models We introduce OpenVLA, a 7B parameter open-source vision-language-action model (VLA), pretrained on 970k robot episodes from the Open X-Embodiment dataset. OpenVLA sets a new state of the art for generalist robot manipulation policies. It supports controlling multiple robots out of the box and ...
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