OpenVLA is an open-source 7.5B-parameter vision-language-action model trained on the Open X-Embodiment dataset, enabling generalist robot manipulation from natural language instructions and visual observations.
OpenVLA fine-tunes a Prismatic VLM backbone on 970k robot demonstrations across 70+ robot embodiments, producing action tokens directly from camera observations and language commands. It achieves state-of-the-art zero-shot generalization on the BridgeData V2 and RT-2 benchmarks and is freely available for research and commercial adaptation.