(env_isaaclab) robot@ssdusbHumble:~/Repos/IsaacLab$ ./isaaclab.sh -p -m tensorboard.main --logdir ../SO_100_Cube_Lift/SO_100_Cube_Lift/logs/skrl/SO_100_Cube_Lift/
~/Repos/SO_100_Cube_Lift/SO_100_Cube_Lift$: ../../IsaacLab/isaaclab.sh -p -m pip install -e source/SO_100_Cube_Lift/
../../IsaacLab/isaaclab.sh -p scripts/skrl/train.py --task=Template-So-100-Cube-Lift-v0 --num_envs 512 --seed 42 --video --video_length 500 --video_interval 5000 --checkpoint logs/skrl/SO_100_Cube_Lift/2025-06-02_12-31-41_ppo_torch_SO_100_Cube_lift/checkpoints/best_agent.pt --headless
This project/repository serves as a template for building projects or extensions based on Isaac Lab. It allows you to develop in an isolated environment, outside of the core Isaac Lab repository.
Key Features:
Isolation
Work outside the core Isaac Lab repository, ensuring that your development efforts remain self-contained.Flexibility
This template is set up to allow your code to be run as an extension in Omniverse.
Keywords: extension, template, isaaclab
-
Install Isaac Lab by following the installation guide. We recommend using the conda installation as it simplifies calling Python scripts from the terminal.
-
Clone or copy this project/repository separately from the Isaac Lab installation (i.e. outside the
IsaacLab
directory): -
Using a python interpreter that has Isaac Lab installed, install the library in editable mode using:
# use 'PATH_TO_isaaclab.sh|bat -p' instead of 'python' if Isaac Lab is not installed in Python venv or conda python -m pip install -e source/SO_100_Cube_Lift
-
Verify that the extension is correctly installed by:
-
Listing the available tasks:
Note: It the task name changes, it may be necessary to update the search pattern
"Template-"
(in thescripts/list_envs.py
file) so that it can be listed.# use 'FULL_PATH_TO_isaaclab.sh|bat -p' instead of 'python' if Isaac Lab is not installed in Python venv or conda python scripts/list_envs.py
-
Running a task:
# use 'FULL_PATH_TO_isaaclab.sh|bat -p' instead of 'python' if Isaac Lab is not installed in Python venv or conda python scripts/<RL_LIBRARY>/train.py --task=<TASK_NAME>
-
Running a task with dummy agents:
These include dummy agents that output zero or random agents. They are useful to ensure that the environments are configured correctly.
-
Zero-action agent
# use 'FULL_PATH_TO_isaaclab.sh|bat -p' instead of 'python' if Isaac Lab is not installed in Python venv or conda python scripts/zero_agent.py --task=<TASK_NAME>
-
Random-action agent
# use 'FULL_PATH_TO_isaaclab.sh|bat -p' instead of 'python' if Isaac Lab is not installed in Python venv or conda python scripts/random_agent.py --task=<TASK_NAME>
-
-
To setup the IDE, please follow these instructions:
- Run VSCode Tasks, by pressing
Ctrl+Shift+P
, selectingTasks: Run Task
and running thesetup_python_env
in the drop down menu. When running this task, you will be prompted to add the absolute path to your Isaac Sim installation.
If everything executes correctly, it should create a file .python.env in the .vscode
directory.
The file contains the python paths to all the extensions provided by Isaac Sim and Omniverse.
This helps in indexing all the python modules for intelligent suggestions while writing code.
We provide an example UI extension that will load upon enabling your extension defined in source/SO_100_Cube_Lift/SO_100_Cube_Lift/ui_extension_example.py
.
To enable your extension, follow these steps:
-
Add the search path of this project/repository to the extension manager:
- Navigate to the extension manager using
Window
->Extensions
. - Click on the Hamburger Icon, then go to
Settings
. - In the
Extension Search Paths
, enter the absolute path to thesource
directory of this project/repository. - If not already present, in the
Extension Search Paths
, enter the path that leads to Isaac Lab's extension directory directory (IsaacLab/source
) - Click on the Hamburger Icon, then click
Refresh
.
- Navigate to the extension manager using
-
Search and enable your extension:
- Find your extension under the
Third Party
category. - Toggle it to enable your extension.
- Find your extension under the
We have a pre-commit template to automatically format your code. To install pre-commit:
pip install pre-commit
Then you can run pre-commit with:
pre-commit run --all-files
In some VsCode versions, the indexing of part of the extensions is missing.
In this case, add the path to your extension in .vscode/settings.json
under the key "python.analysis.extraPaths"
.
{
"python.analysis.extraPaths": [
"<path-to-ext-repo>/source/SO_100_Cube_Lift"
]
}
If you encounter a crash in pylance
, it is probable that too many files are indexed and you run out of memory.
A possible solution is to exclude some of omniverse packages that are not used in your project.
To do so, modify .vscode/settings.json
and comment out packages under the key "python.analysis.extraPaths"
Some examples of packages that can likely be excluded are:
"<path-to-isaac-sim>/extscache/omni.anim.*" // Animation packages
"<path-to-isaac-sim>/extscache/omni.kit.*" // Kit UI tools
"<path-to-isaac-sim>/extscache/omni.graph.*" // Graph UI tools
"<path-to-isaac-sim>/extscache/omni.services.*" // Services tools
...