microsoft/physical-ai-toolchain

environment-deployment

Generate, transfer, and consume environment-specific Azure, AKS, OSMO, ACR, and Azure ML deployment bundles. Use when: discovering deployed environment details; creating OSMO image manifests or platform values; preparing a HiL host; uploading or downloading…

لغة النص الأصلي: الإنجليزية

dataviewer

Start and interact with the Dataset Analysis Tool (dataviewer) for browsing, annotating, and exporting robotic training episodes

لغة النص الأصلي: الإنجليزية

osmo-lerobot-training

Submit, monitor, analyze, and evaluate LeRobot imitation learning training jobs on OSMO with Azure ML MLflow integration and inference evaluation - Brought to you by microsoft/physical-ai-toolchain

لغة النص الأصلي: الإنجليزية

infrastructure

Deploy and manage Azure infrastructure for the Physical AI Toolchain including Terraform IaC, Kubernetes setup, GPU configuration, and network topology

لغة النص الأصلي: الإنجليزية

fleet-deployment

Deploy trained robot policies to edge fleets via FluxCD GitOps, image automation, and deployment gating

لغة النص الأصلي: الإنجليزية

fleet-intelligence

Monitor robot fleet telemetry via Azure IoT Operations, drift detection, Grafana dashboards, and Fabric analytics

لغة النص الأصلي: الإنجليزية

synthetic-data

Generate synthetic training data using NVIDIA Cosmos world foundation models for SDG pipelines

لغة النص الأصلي: الإنجليزية