OpenArm models and policy choices
OpenArm model and policy guide covering teleoperation-first bootstrapping, imitation learning, evaluation, and deployment considerations.
OpenArm teams usually start with teleoperation and focused task policies, then expand toward broader model classes once evaluation loops are stable.
Good first paths
- Imitation policiesGreat for structured OpenArm task bootstrapping.
- Diffusion-style policiesUseful for trajectory-rich demonstration sets.
- VLAs laterBetter once data scale and task breadth justify the complexity.
OpenArm links
Search intent
This page captures users looking for OpenArm control and policy guidance rather than only hardware docs.
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We can help map OpenArm data, control, and model choices into a practical pilot plan.
Every VLA here can be fine-tuned on your own demonstrations.







