lingbot-vla
Robbyant
A Pragmatic VLA Foundation Model
VLA training
Verify weight files, sizes, format, and loading instructions.
A model hub link is a declaration. Files, loadability, evaluation, and deployment are scored separately.
Model decision scorecard
Use-case scores and evidence confidence are separate; Unknown is not treated as failure.
Access and governance
UsefulAccess and license are declared by the source.
Artifact availability
UnknownCode and weights are not verified.
Training and loading reproducibility
UnknownNo verified loading configuration is available.
Training data requirements
UnknownTraining data requirements are not structured enough for reliable dataset matching.
Evaluation evidence
UnknownNo structured evaluation evidence has been verified.
Deployment readiness
UnknownHardware, latency, dependencies, and checkpoint loading are not pipeline-tested.
Artifact facts and provenance
availabilitymetadata_verifiedopen
repository metadata
licensemetadata_verifiedApache-2.0
repository metadata: license
Loop signal demand
Signals this model family needs for training, evaluation, or failure mining.
Observation / ego video
observation · depth · Optional depth supervision · Depth-free versus depth-distilled adaptation
Language intent / task phase
language intent
Action / robot state
actions · robot state · Cross-embodiment action normalization
Future state / dynamics
Needs future-state supervision or rollout structure to validate predictive dynamics.
Feedback / correction / failure
Needs success, failure, correction, or recovery signals to turn evaluation into better data.
Sim-real / embodiment metadata
depth · robot state · Cross-embodiment action normalization · Optional depth supervision
Evaluation focus
- Cross-embodiment transfer
- Dual-arm manipulation
- Depth-free versus depth-distilled adaptation
Missing critical loop signals
Core signal demands are represented. Check quality, alignment, and access constraints.
Related catalog datasets
Open X-Embodiment
Cross-embodiment robot learning in a unified format
Exact action dimensions, control frequency, normalization, and camera mapping require interface verification.
RoboMIND
Multi-embodiment demonstrations with explicit failures
Exact action dimensions, control frequency, normalization, and camera mapping require interface verification.
AgiBot World 2026
Large-scale real-world humanoid interaction data
Dataset license restricts commercial use.
OpenBot notes
- Released in depth-free and depth-distilled configurations.
- The codebase migrated to LeRobot 3.0 in 2026.