Software & Middleware

Asynchronous Inference

Asynchronous inference is a robot control architecture in which policy inference runs concurrently with action execution rather than blocking the control loop: while the robot executes the current action chunk, the next chunk is already being computed from more recent observations. Real-time chunking approaches then stitch consecutive chunks to preserve continuity. This decouples a model's inference latency, potentially hundreds of milliseconds for large vision-language-action models, from the robot's control rate.

Why it matters for physical AI

Foundation-scale policies are too slow to run synchronously at control rates, so asynchronous execution with chunk stitching is what makes billion-parameter models viable on physical robots without jerky stop-and-go motion.