Recipes

Step-by-step guides that take you from a standing start to a working result. Each recipe is self-contained with prerequisites, runnable commands, and verification steps.

[!NOTE] Recipes assume deployed infrastructure. Complete the Quickstart first if you have not provisioned Azure resources.

🚀 Pick a Recipe

Goal	Recipe	Time
Train an RL policy	Your First RL Training Job	30 min
Train a LeRobot policy	Your First LeRobot Training Job	30 min
Run the full train → eval → register pipeline	End-to-End LeRobot Pipeline	60 min
Configure edge recording	Configuring Edge Data Recording	20 min
Prepare a dataset for training	Preparing Datasets for Training	30 min

📖 Recipe Catalog

Training

Recipe	Description	Prerequisites
Your First RL Training Job	Submit an Isaac Lab RL training job on OSMO with SKRL	Deployed infrastructure, OSMO running
Your First LeRobot Training Job	Submit a LeRobot behavioral cloning job on OSMO	Deployed infrastructure, HuggingFace dataset
End-to-End LeRobot Pipeline	Orchestrate train → evaluate → register in one command	Completed basic LeRobot recipe

Data Collection

Recipe	Description	Prerequisites
Configuring Edge Data Recording	Set up ROS 2 edge recording on Jetson with chunking and compression	Jetson device, ROS 2
Preparing Datasets for Training	Download, inspect, and validate datasets for LeRobot training	Python 3.11+, Azure CLI

🔗 Related Documentation

• Getting Started — infrastructure deployment and first training job
• Training Guide — reference documentation for RL and IL workflows
• Data Pipeline — edge recording configuration reference
• Scripts Reference — CLI parameter tables for all submission scripts

🤖 Crafted with precision by ✨Copilot following brilliant human instruction, then carefully refined by our team of discerning human reviewers.