lingbot-vla
Robbyant
A Pragmatic VLA Foundation Model
- Code
- Unverified
- Weights
- Unverified
- Checkpoint
- Unverified
- License
- Apache-2.0
Decision summary
VLA training
Training data requirements are not structured enough for reliable dataset matching.
Verify weight files, sizes, format, and loading instructions.
Evidence profile
A visual read of adoption evidence. Scores describe catalog evidence readiness, not task performance.
Published evaluation
1/6
dimensions scored
Unknown evidence remains visible and is never treated as a zero.
Why these scores
The strongest decision reasons behind the evidence profile.
Artifact availability
UnknownCode and weights are not verified.
Training and loading reproducibility
UnknownNo verified loading configuration is available.
Evaluation evidence
UnknownNo structured evaluation evidence has been verified.
Data requirements
Declared loop-data needs, missing evidence, and the next checks that matter.
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.
Future state / dynamics
Needs future-state supervision or rollout structure to validate predictive dynamics.
Critical gaps
- 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.
Linked datasets
Signal-level links only. Verify runtime interfaces before use.
No related catalog datasets are linked to this model yet.
More evidenceShowHide
Additional data signals
Feedback / correction / failure
Needs success, failure, correction, or recovery signals to turn evaluation into better data.
Sim-real / embodiment metadata
Needs embodiment, calibration, or sim-real pairing metadata for transfer analysis.
Additional decision dimensions
Access and license are declared by the source.
75 · c85Training data requirements are not structured enough for reliable dataset matching.
— · c15Hardware, latency, dependencies, and checkpoint loading are not pipeline-tested.
— · c10Artifact facts
- availability
- metadata_verified
- open
- repository metadata
- license
- metadata_verified
- Apache-2.0
- repository metadata: license
- discovery.source
- secondary_claim
- name: worldbench/awesome-embodied-data-pyramid · trust: discovery_only · revision: 0568599d0619f20946e8089f6a941d0d9e30b690
- #table-embodied-foundation-models-vla-wam, table 17, row 41
- discovery.raw_fields
- secondary_claim
- Time: 2026.1 · Method: LingbotVLA · Institution: Ant Group · Project: [](https://technology.robbyant.com/lingbot-vla) · Model: VLA · Data: ![Real][data-real]
- #table-embodied-foundation-models-vla-wam, table 17, row 41
- model.reported_release_time
- secondary_claim
- 2026.1
- #table-embodied-foundation-models-vla-wam, table 17, row 41
- model.type
- secondary_claim
- VLA
- #table-embodied-foundation-models-vla-wam, table 17, row 41
- model.training_data_layers
- secondary_claim
- real_robot
- #table-embodied-foundation-models-vla-wam, table 17, row 41
- model.institution
- secondary_claim
- Ant Group
- #table-embodied-foundation-models-vla-wam, table 17, row 41
- catalog.curation
- secondary_claim
- tier: editorial_focus · collection: WorldBench Awesome Embodied Data Pyramid · policy: human_curated_priority
- #table-embodied-foundation-models-vla-wam, table 17, row 41