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VLAOpen2026-07-07

lingbot-vla-v2

Robbyant

From Foundation to Application

Best for

VLA training

Primary blocker

Verify weight files, sizes, format, and loading instructions.

Evidence rule

A model hub link is a declaration. Files, loadability, evaluation, and deployment are scored separately.

Family
VLA
Signals
0 tracked
Datasets
0 linked

Model decision scorecard

Use-case scores and evidence confidence are separate; Unknown is not treated as failure.

2 unresolved dimensions

Access and governance

Useful
75confidence 85

Access and license are declared by the source.

Artifact availability

Unknown
confidence 15

Code and weights are not verified.

Training and loading reproducibility

Unknown
confidence 15

No verified loading configuration is available.

Training data requirements

Unknown
confidence 15

Training data requirements are not structured enough for reliable dataset matching.

Evaluation evidence

Unknown
confidence 10

No structured evaluation evidence has been verified.

Deployment readiness

Unknown
confidence 10

Hardware, latency, dependencies, and checkpoint loading are not pipeline-tested.

Artifact facts and provenance

availabilitymetadata_verified

open

repository metadata

licensemetadata_verified

Apache-2.0

repository metadata: license

Loop signal demand

Signals this model family needs for training, evaluation, or failure mining.

3 required categories

Observation / ego video

Needs visual observations or other state streams before this model direction is actionable.

required

Language intent / task phase

Needs task intent, instructions, keysteps, or phase labels to connect behavior to goals.

required

Action / robot state

Needs executable actions, robot state, hand pose, or trajectory supervision.

required

Future state / dynamics

Needs future-state supervision or rollout structure to validate predictive dynamics.

useful

Feedback / correction / failure

Needs success, failure, correction, or recovery signals to turn evaluation into better data.

useful

Sim-real / embodiment metadata

Needs embodiment, calibration, or sim-real pairing metadata for transfer analysis.

useful

Evaluation focus

    Missing critical loop signals

    • Observation / ego video
      Needs visual observations or other state streams before this model direction is actionable.
    • Language intent / task phase
      Needs task intent, instructions, keysteps, or phase labels to connect behavior to goals.
    • Action / robot state
      Needs executable actions, robot state, hand pose, or trajectory supervision.

    Related catalog datasets

    OpenBot notes

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