Run LeIsaac Instantly in the Cloud with NVIDIA Brev

The fastest way to get started with LeIsaac — you don't need a high-performance GPU, just a web browser.

Open a web browser and navigate to this link. After the deployment is complete, click the link for port 80 (HTTP) to open Visual Studio Code Server. The default password is password.

Quick install:

cd leisaac
pip install -e source/leisaac

Our four open-source scenarios have been pre-installed and can be started using the following command:

python scripts/environments/teleoperation/teleop_se3_agent.py \
    --task=LeIsaac-SO101-PickOrange-v0 \
    --teleop_device=keyboard \
    --num_envs=1 \
    --device=cuda \
    --enable_cameras \
    --kit_args="--no-window --enable omni.kit.livestream.webrtc"

Then you can open a new browser tab to view the UI. In this tab, paste the same address as the Visual Studio Code server, changing the end of the URL to /viewer.

Example

If VS Code Server is at ec2.something.amazonaws.com, then the UI can be accessed at ec2.something.amazonaws.com/viewer.

After a few seconds you should see the UI in the viewer tab. The first launch may take much longer as shaders are cached.

Here is our demo video: