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Adds or modifies a first-party robot integration in the Physical AI Runtime source tree. Use when implementing the Robot protocol under src/physicalai/robot, registering built-in drivers or optional extras, or changing verify.py and robot tests. DO NOT USE…
Runs an exported Physical AI policy on a robot with RobotRuntime and physicalai run. Use when wiring a robot, cameras, PolicySource or TeleopSource, choosing SyncExecution/AsyncExecution/RTCExecution, configuring a runtime YAML recipe, or diagnosing action…
Adds or modifies a camera backend in the Physical AI Runtime source tree. Use when implementing Camera, extending create_camera or discovery under src/physicalai/capture, adding optional vendor SDK extras, or writing capture tests with fake devices. DO NOT…
Adds a built-in preprocessor, postprocessor, or runner to Physical AI Runtime. Use when editing src/physicalai/inference component classes, ComponentRegistry, or their unit tests so a manifest can instantiate a new type. DO NOT USE FOR configuring an existing…
Maintains the Physical AI Runtime configuration package shared with Studio. Use when changing src/physicalai/config, export_config, Config serialization and instantiation, jsonargparse integration, or tests/unit/config. DO NOT USE FOR writing a trusted local…
Configures an exported policy's inference pipeline with Runtime manifest preprocessors, runners, and postprocessors. Use when writing preprocessor/postprocessor lists, choosing a registered type or class_path/init_args, resolving export artifacts, or fixing…
Configures Physical AI Runtime objects with physicalai.config and YAML recipes. Use when writing class_path/init_args for robots, cameras, runtime or inference components, exporting a local object with @export_config, or choosing jsonargparse for typed…
Creates or modifies an external Physical AI robot plugin for Studio. Use when implementing a Runtime Robot driver in your own package, defining studio_catalog.py with RobotCatalogDefinition, RobotProbe or RobotAsset, and registering the…
Loads and validates policies exported from Physical AI Studio for Runtime deployment. Use when calling InferenceModel or from_pretrained on a local export or Hub snapshot, checking manifest.json, selecting an ONNX/OpenVINO backend or device, or smoke-testing…
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