Cross-embodiment vision-language-action

X-VLA

X-VLA uses embodiment-related soft prompts to adapt a flow-based action policy across differing robot data sources.

Source contextPrimary specReviewed 2026-09-28

Sources 2

2toinf · Publication date not disclosed · Source accessed 2026-09-28

Official README inspected live. Repository code terms do not automatically cover model weights, data, or third-party assets.

X-VLA original paper

X-VLA research team · Publication date not disclosed · Source accessed 2026-09-28

Reviewed recordLast reviewed 2026-09-282 sources ↗4 sourced fields

Official source Suggest a correction

Architecture and scope

The project links a reference implementation, released weights and a server/client integration path. Embodiment prompts distinguish datasets and control spaces rather than implying that robot interfaces are interchangeable.

Source contextPrimary specReviewed 2026-09-28

Sources 2

2toinf/X-VLA official repository

2toinf · Publication date not disclosed · Source accessed 2026-09-28

Official README inspected live. Repository code terms do not automatically cover model weights, data, or third-party assets.

X-VLA original paper

X-VLA research team · Publication date not disclosed · Source accessed 2026-09-28

Integration and evaluation

A LeRobot integration is available. The maintainers warn that converted Hugging Face-format weights can differ slightly in performance from the original format; preserve the format in an evaluation record.

Source contextPrimary specReviewed 2026-09-28

Sources 2

2toinf/X-VLA official repository

2toinf · Publication date not disclosed · Source accessed 2026-09-28

Official README inspected live. Repository code terms do not automatically cover model weights, data, or third-party assets.

X-VLA original paper

X-VLA research team · Publication date not disclosed · Source accessed 2026-09-28

Evidence boundary

Reference and converted checkpoints should not share scores without an explicit equivalence check.

Source contextPrimary specReviewed 2026-09-28

Sources 2

2toinf/X-VLA official repository

2toinf · Publication date not disclosed · Source accessed 2026-09-28

Official README inspected live. Repository code terms do not automatically cover model weights, data, or third-party assets.

X-VLA original paper

X-VLA research team · Publication date not disclosed · Source accessed 2026-09-28

Model identity

Developer: X-VLA research team
Primary specReviewed 2026-09-28
Sources 1
2toinf/X-VLA official repository
2toinf · Publication date not disclosed · Source accessed 2026-09-28
Official README inspected live. Repository code terms do not automatically cover model weights, data, or third-party assets.
Exact version / scope: X-VLA-0.9B
Primary specReviewed 2026-09-28
Sources 1
2toinf/X-VLA official repository
2toinf · Publication date not disclosed · Source accessed 2026-09-28
Official README inspected live. Repository code terms do not automatically cover model weights, data, or third-party assets.
Category: Cross-embodiment vision-language-action
Primary specReviewed 2026-09-28
Sources 1
2toinf/X-VLA official repository
2toinf · Publication date not disclosed · Source accessed 2026-09-28
Official README inspected live. Repository code terms do not automatically cover model weights, data, or third-party assets.
Access model: Public repository and linked model weights
Primary specReviewed 2026-09-28
Sources 1
2toinf/X-VLA official repository
2toinf · Publication date not disclosed · Source accessed 2026-09-28
Official README inspected live. Repository code terms do not automatically cover model weights, data, or third-party assets.
License: Not publicly disclosed

Inputs, outputs & embodiment

Inputs: Not publicly disclosed
Outputs: Not publicly disclosed
Embodiment: Not publicly disclosed

Implementation & training

Compute: Not publicly disclosed
Training-data disclosures: Not publicly disclosed
Integrations: Not publicly disclosed

Reported benchmark results

Context before scores. Results from different benchmarks are not directly comparable. A simulation result does not establish real-world reliability, safety or commercial availability.

No result meets our complete revision and methodology requirements for this record yet. Inspect the original benchmark documentation before comparing published scores.

What this evidence does not establish

Reference and converted checkpoints should not share scores without an explicit equivalence check.
Pricing and deployment service terms were not verified.

Relationships & deployments

Related reading is an editorial crosslink. Sourced connections describe relationships reported in the cited material. A link to a versioned profile does not establish compatibility with that version unless the connection note explicitly identifies it.

Record history & verified changes

A research review records when we checked a source. It does not mark a product launch or a new deployment.

Initial reviewed record. No subsequent field change has been recorded.

Inspect the evidence

Sources & evidence

md-xvla

2toinf/X-VLA official repository

2toinf · Repository · Publication date not disclosed · Source accessed 2026-09-28

Factual summary and attribution only; no upstream prose, images, weights, or dataset redistributed.

Official README inspected live. Repository code terms do not automatically cover model weights, data, or third-party assets.

Referenced by 1 record: X-VLA

md-xvla-paper

X-VLA original paper

X-VLA research team · Paper · Publication date not disclosed · Source accessed 2026-09-28

Factual summary and attribution only; no upstream prose, images, weights, or dataset redistributed.

Referenced by 1 record: X-VLA