Agility Digit whole-body control foundation model ("motor cortex")
Agility has not published a large VLA of its own; this is its disclosed foundation-model layer. Digit is in paid deployments (e.g. GXO); Agility opened a Fremont "Physical AI" facility in July 2026 (https://www.nasdaq.com/press-release/agility-opens-new-fremont-facility-accelerate-physical-ai-development-2026-07-16). Not developer-accessible.
- Input
- text
- Output
- action
- License
- proprietary
How to call it
| Provider | Model id | Endpoint / URL | Docs |
|---|---|---|---|
| Onboard Agility Digit (commercial humanoid, via Agility) | — | www.agilityrobotics.com/content/agility-and-ai | docs |
Notable capabilities (2)
- Tiny sim-trained whole-body controller: An LSTM with fewer than 1M parameters, trained with RL in NVIDIA Isaac Sim for decades of simulated time in 3-4 days, transferring zero-shot to Digit for balance, walking, arm placement and carrying heavy objects while staying stable. source
- Layered stack with LLM on top: Higher layers (open-vocabulary detectors, state-machine planners, an LLM such as a Gemini research preview) send targets to the motor cortex; dexterous skills are learned on top of it. source