Skild Brain is built to be a single, shared model that many different robot bodies can run on top of, rather than a bespoke policy trained per-robot. The pitch behind it is scale: pool locomotion and manipulation data across form factors and let the model generalize the way large language models generalize across text. For directory visitors evaluating foundation-model vendors, Skild is a useful reference point for the "one brain, many bodies" school of thought.
More in Robot Foundation Models
Octo
A transformer-based diffusion policy pre-trained on 800,000 robot episodes from the Open X-Embodiment dataset.
Physical Intelligence π0.5
Keeps the π0 recipe — a vision-language-model backbone with a flow-matching action expert — but is built around generalization to new environments.
Figure Helix
End-to-end vision-language-action model from Figure that runs entirely on the Figure 02 and Figure 03 humanoids. A dual-system architecture (System 2 ~7B VLM for reasoning, System 1 ~80M transformer for fast control) enables 35-DoF whole-upper-body control. Helix 02 (Jan 2026) extends to whole-body autonomy.
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