Foundation Models

Behavior Foundation Model (BFM)

A behavior foundation model is a pretrained model of motor behavior intended to serve as a general substrate for many downstream tasks, typically trained on large corpora of motion data such as human motion capture or diverse robot trajectories. In humanoid research, BFMs learn latent skill spaces for whole-body control that can be steered by tracking targets, rewards, or language, so new tasks require only lightweight steering rather than training a controller from scratch.

Why it matters for physical AI

Reusable motor priors could do for whole-body control what language model pretraining did for text, cutting per-task training from weeks of reinforcement learning to prompt-like specification of goals.