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X-VLA
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X-VLA

[ICLR 2026] The offical Implementation of "Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model"

by 2toinf · GitHub
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cloth-foldingflorence-2manipulationApache-2.0C++
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Explore and test a model that helps robots understand and perform tasks involving vision and language.

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693692
2026-07-202026-08-31
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[ICLR 2026] The offical Implementation of "Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model"

X-VLA has 692 stars on GitHub. It has been forked 67 times. X-VLA is written mainly in C++. It has been in active development since 2025. X-VLA is available under the Apache-2.0 license. Its main topics are cloth-folding, florence-2, manipulation, pretrained-models.

Frequently asked questions

What is X-VLA?

[ICLR 2026] The offical Implementation of "Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model"

Is X-VLA open source?

X-VLA is an open-source project. It is released under the Apache-2.0 license.

Is X-VLA free?

Yes. X-VLA is free and open source — you can use, modify and self-host it.

What license does X-VLA use?

X-VLA is available under the Apache-2.0 license.

What language is X-VLA written in?

X-VLA is written mainly in C++.

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