Adds or modifies a Physical AI Studio policy under library/src/physicalai/policies. Use when creating a new policy family with the config/model/policy split, registering it in the get_policy factory and package exports, or keeping a policy compatible with…
open-edge-platform/physical-ai-studio
SkillsMP has collected 7 skills from open-edge-platform/physical-ai-studio. Open a skill to review its source and details.
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Trains, validates, tests, and runs prediction for Physical AI Studio policies via the library Lightning stack. Use when running physicalai fit/validate/test/predict, calling physicalai.train.Trainer and Policy APIs from Python, writing or editing YAML configs…
Creates or modifies an external Physical AI robot plugin for Studio. Use when implementing a Runtime Robot driver outside Studio, adding studio_catalog.py, RobotCatalogDefinition, RobotProbe, RobotAsset, the physicalai.studio.catalog_plugins entry point, or a…
Adds a new interactive robot form UI field for plugin payload schemas. Use when introducing a new `robot_payload_ui` item kind, wiring renderer support under application/ui/src/features/robots/robot-form/robot-schema/components, updating plugin SDK UI-schema…
Works with Physical AI Studio datasets and Lightning datamodules built on the LeRobot format. Use when wiring physicalai.data.lerobot.LeRobotDataModule into a training config, choosing a repo_id, converting between the physicalai and lerobot data layouts,…
Benchmarks a trained Physical AI Studio policy in a simulation gym and reports success metrics. Use when running physicalai benchmark, editing configs under library/configs/benchmark, adding or changing a Benchmark class in physicalai.benchmark, tuning…
Exports and validates Physical AI Studio policies for Runtime deployment. Use when working on policy.export(...), the physicalai export CLI, the ONNX/OpenVINO/Torch/ExecuTorch backends, export metadata, numerical parity checks, or the Studio side of the…