Lightweight runtime for Physical AI inference and deployment
Physical AI Runtime is the lightweight deployment layer for Physical AI. It runs exported policies with a unified API and CLI, and provides camera/robot interfaces for real‑world execution.
- Unified Inference API - Load and run exported policies with
InferenceModel - Runtime CLI -
physicalai run/serve/validatefor deployment workflows - Hardware Interfaces - Camera and robot interfaces with clean boundaries
- Benchmarking - NumPy‑only benchmarking runner and protocols
- Format‑agnostic - Works with exported models from physicalai-train, LeRobot, and custom frameworks
pip install physicalaifrom physicalai import InferenceModel
policy = InferenceModel("./exports/act_policy")
action = policy.select_action(observation)physicalai run --model ./exports/act_policy --robot robot.yaml| Resource | Description |
|---|---|
| Design Docs | Architecture and design proposals |
| Contributing | Development setup and guidelines |
| Support | Help and reporting guidance |
| Security | Vulnerability disclosure policy |
| Code of Conduct | Community participation standards |
We welcome contributions! See CONTRIBUTING.md for guidelines.