cadenza-lab: the MuJoCo-based
simulator, robots, action library, and inference stack that the
CLI drives under the hood. Use it directly when you want to:
- Simulate robots — quadruped (Go1), humanoid (G1), and a 6-axis arm — and build scenes programmatically.
- Roll out policies through a Gym-style interface.
- Plug your own vision-language-action (VLA) / world model into the inference stack.
- Coordinate several robots on one goal over MCP.
- Drive a CLI project’s mission with your own model.
Install
gym extra:
Import
The PyPI distribution iscadenza-lab. The importable module is cadenza. A
thin alias lets you import it under either name:
The API at a glance
How the pieces fit
Everything in the SDK is layered on one physics core. You can enter at any layer: fire a one-liner, scriptSteps, step a Gym loop, or hand the whole loop to a
world model.
Quickstart
Run a robot and render a scene in a few lines.