Navigating the Provided Asset Library

In this section, let’s review the assets for this project. Our asset library, in this project, is organized into two main groups: machine assets and the factory environment. Understanding this structure is an important part of preparing for digital twin scene assembly, as it helps us efficiently locate, reuse, and manage components throughout our workflow.

We will use the Script Editor extension in Omniverse to automate and streamline some asset management tasks with Python. The Script Editor lets us run code to inventory assets, validate structures, and customize our workflow.

To open the Script Editor:

1. Navigate to Developer > Script Editor in the main menu.

   • In the Script Editor window, you can paste and modify Python scripts as needed.

Note

Replace the folder path in YOUR-PATH-HERE for your project folder.

# Replace YOUR-PATH-HERE with the abolute path on your assets.
import os
asset_dir="C:/YOUR-PATH-HERE"

# Walk through all subfolders and list every .usd file (case-insensitive)
for root, dirs, files in os.walk(asset_dir):
    for file in files:
        if file.lower().endswith('.usd'):
            print(f"Asset: {file}, Path: {os.path.join(root, file)}")

Note

After running the script, we receive a list of machine assets in the following format:

For example, with asset_dir set to C:/Project/Assets:

Asset: N_03_Feeder.usd, Path: C:/Project/Assets/Machine_USD/N_03_Feeder/N_03_Feeder.usd

Path separators depend on your operating system.

This output lists .usd files; it does not validate their contents, dependencies, or readiness for use.

The provided machine assets are already in .usd format, so no format conversion is required. Inspect their metadata, dependencies, and validation results in the following lessons before assembling them.

---

Our Goal

In this course, we’ll prepare these machine assets for reuse and flexible placement in multiple production line configurations. Using non-destructive methods allows us to experiment, iterate, and safely use these assets in a variety of digital twin scenarios.