# Overview

The isaacsim.replicator.examples extension provides example implementations and demonstrations of Replicator functionality within Isaac Sim for synthetic data generation workflows in robotics simulation and machine learning.

## Functionality

The extension demonstrates key Replicator concepts through practical spatial sampling operations commonly used in robotics and machine learning data generation:

- **Spatial Randomization**: Shows how to implement different spatial distribution patterns for objects in 3D scenes
- **Graph-Based Workflows**: Demonstrates integration with OmniGraph for building complex data generation pipelines  
- **Execution Flow Control**: Provides examples of managing execution order in graph-based synthetic data workflows

## Integration

The extension integrates with Isaac Sim's synthetic data generation ecosystem through its dependencies on **omni.replicator.core** and isaacsim.replicator.writers. The OmniGraph nodes can be combined with other Replicator components to create sophisticated randomization workflows for training data generation in robotics applications.
