LingBot-World
Robbyant
An open interactive world simulator derived from video generation, with camera- and action-conditioned variants and long-horizon generation.
Long-horizon consistency
Base (Cam), Base (Act), and Fast are releases/checkpoints of one model series.
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.
Code, weights, and checkpoints
UsefulAn official model hub is linked; weight files and loadability are not verified.
Loading and training reproducibility
UnknownNo verified loading configuration is available.
Training data requirements
UsefulRequired signal categories are declared; exact tensor and action interfaces still need verification.
Evaluation evidence
UsefulEvaluation focus is declared, but metrics are not independently verified.
Deployment readiness
UnknownHardware, latency, dependencies, and runtime loading are not yet verified.
Artifact facts and provenance
No metadata-verified artifact facts yet. Source links remain declarations only.
Loop signal demand
Signals this model family needs for training, evaluation, or failure mining.
Observation / ego video
observation · camera pose · Action- or camera-conditioned video
Language intent / task phase
language intent
Action / robot state
actions · Action- or camera-conditioned video · Interaction controls · Action-conditioned dynamics
Future state / dynamics
future state · Consistent scene dynamics · Action-conditioned dynamics
Feedback / correction / failure
Needs success, failure, correction, or recovery signals to turn evaluation into better data.
Sim-real / embodiment metadata
camera pose · Robot-learning transfer
Evaluation focus
- Long-horizon consistency
- Action-conditioned dynamics
- Interactive latency
- Robot-learning transfer
Missing critical loop signals
Core signal demands are represented. Check quality, alignment, and access constraints.
Related catalog datasets
Ego4D
Large-scale daily-life egocentric video
Exact action dimensions, control frequency, normalization, and camera mapping require interface verification.
Ego-Exo4D
Synchronized first-person and third-person skilled activity
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
- Base (Cam), Base (Act), and Fast are releases/checkpoints of one model series.
- General video capability should be distinguished from validated robot-policy performance.