TL;DR
- Install Isaac Sim via Omniverse Launcher on Ubuntu 22.04 with an RTX GPU
- Import robots using USD/URDF files and configure PhysX for realistic physics
- Use Replicator for synthetic data generation with domain randomization
- Bridge to ROS 2 Humble via
isaac_rospackages - Run headless on cloud instances with Omniverse Nucleus
1. Installation and System Requirements
Hardware Requirements
Isaac Sim requires:
- GPU: NVIDIA RTX 30/40 series or A100/H100 (minimum RTX 2080 Ti)
- CPU: 8+ cores (Intel Xeon/AMD Ryzen recommended)
- RAM: 32GB+ (64GB for large scenes)
- Storage: 20GB+ SSD (NVMe preferred)
Software Prerequisites
# Ubuntu 22.04 (tested)
sudo apt update
sudo apt install -y nvidia-driver-535 nvidia-cuda-toolkit
sudo apt install -y ros-humble-desktop ros-humble-isaac-ros
Installation Steps
-
Download Omniverse Launcher
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-ubuntu2204.pin sudo mv cuda-ubuntu2204.pin /etc/apt/preferences.d/cuda-repository-pin-600 sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/ /" sudo apt update sudo apt install -y nvidia-omniverse-launcher -
Install Isaac Sim via Launcher
- Open Omniverse Launcher
- Go to Exchange → Search "Isaac Sim" → Install 2023.1.1 (latest stable)
-
Verify Installation
./isaac-sim.shExpected output:
[Isaac Sim] Starting... [Omniverse Kit] Launching...
Common Installation Errors
-
Error:
Failed to initialize CUDAFix: Ensure NVIDIA drivers are installed:nvidia-smiShould show GPU info without errors.
-
Error:
Missing ROS 2 Humble dependenciesFix: Install ROS 2 Humble:sudo apt install ros-humble-isaac-ros source /opt/ros/humble/setup.bash
2. Importing Robots and USD Scenes
Supported File Formats
| Format | Extension | Notes |
|---|---|---|
| Universal Scene Description | .usd | Preferred format for Isaac Sim |
| URDF | .urdf | Convert to USD using isaac_ros |
| SDF | .sdf | Gazebo format (convert via ros2 run urdf_to_usd) |
Importing a URDF Robot (Example: Franka Emika Panda)
-
Download Franka URDF
mkdir -p ~/isaac_sim_ws/src cd ~/isaac_sim_ws/src git clone https://github.com/ros-industrial/franka_ros.git colcon build --symlink-install -
Convert URDF to USD
ros2 run urdf_to_usd urdf_to_usd --input franka_ros/urdf/franka_panda.urdf --output franka_panda.usd -
Load in Isaac Sim
- Launch Isaac Sim:
./isaac-sim.sh - In the Isaac Sim UI:
- Go to File → Import Scene
- Select
franka_panda.usd - Click Open
- Launch Isaac Sim:
Configuring Robot Joints and Sensors
Edit the USD file to add sensors (e.g., cameras, IMUs):
def Camera "right_hand_camera" (
xformOp:transform = @right_hand_camera_xform
sensor:camera = {
focalLength = 24.0
horizontalAperture = 10.0
clippingRange = (0.01, 100.0)
}
)
3. PhysX Simulation and Sensor Models
Configuring Physics Properties
Edit the robot’s USD file to adjust physics:
def Xform "panda_link0" (
xformOp:transform = @panda_link0_xform
physics:collisionApproxConvexHull = {
approxConvexHull = true
collisionEnabled = true
}
physics:rigidBody = {
mass = 0.5
enableGravity = true
}
)
Enabling Realistic Sensors
-
Add a Camera Sensor
def Camera "head_camera" ( xformOp:transform = @head_camera_xform sensor:camera = { focalLength = 16.0 horizontalAperture = 8.0 clippingRange = (0.01, 50.0) resolution = (640, 480) } ) -
Enable Depth Sensors
# In a Python script (e.g., `simulation_app.py`) from omni.isaac.sensor import Camera camera = Camera(prim_path="/World/head_camera", resolution=(640, 480)) camera.enable_depth()
Domain Randomization for Sim-to-Real
Use Isaac Sim’s Replicator for domain randomization:
from omni.isaac.replicator import ReplicatorClient
# Initialize Replicator
replicator = ReplicatorClient()
# Define randomization parameters
randomization_params = {
"physics": {
"friction": {"min": 0.1, "max": 0.9},
"mass": {"min": 0.5, "max": 2.0}
},
"lighting": {
"intensity": {"min": 0.5, "max": 2.0}
}
}
# Apply to a scene
replicator.randomize_scene(randomization_params)
4. Synthetic Data Generation with Replicator
Generating RGB-D Datasets
-
Create a Replicator Pipeline
from omni.isaac.replicator import ReplicatorClient, Pipeline # Initialize replicator = ReplicatorClient() # Define pipeline pipeline = Pipeline() pipeline.add(Pipeline.create_camera_sensor("rgb_camera", resolution=(1280, 720))) pipeline.add(Pipeline.create_camera_sensor("depth_camera", resolution=(1280, 720), depth=True)) # Add randomization pipeline.add(Pipeline.randomize_physics(friction=(0.1, 0.9))) # Export data pipeline.add(Pipeline.write_to_disk("/data/rgb", format="png")) pipeline.add(Pipeline.write_to_disk("/data/depth", format="exr")) -
Run the Pipeline
python3 replicator_pipeline.py --headless
Expected Output
/data/
├── rgb/
│ ├── frame_000001.png
│ ├── frame_000002.png
│ └── ...
└── depth/
├── frame_000001.exr
├── frame_000002.exr
└── ...
5. ROS 2 Bridge Integration
Bridging Isaac Sim to ROS 2 Humble
-
Install ROS 2 Humble Bridge
sudo apt install ros-humble-isaac-ros-bridge -
Launch the Bridge
ros2 launch isaac_ros_bridge isaac_ros_bridge.launch.py -
Publish a Joint State Topic
# In a Python script (e.g., `joint_publisher.py`) from isaac_ros_bridge import IsaacRosBridge bridge = IsaacRosBridge() bridge.publish_joint_states("/franka_panda/joint_states") -
Subscribe to a ROS 2 Topic
ros2 topic echo /franka_panda/joint_states
Common ROS 2 Issues
-
Error:
TF transform failedFix: Ensurerobot_state_publisheris running:ros2 run robot_state_publisher robot_state_publisher --ros-args -p use_sim_time:=true -
Error:
No such node /isaac_ros_bridgeFix: Verify the bridge is launched:ros2 node list
6. Headless Runs and Cloud Deployment
Running Isaac Sim Headless
./isaac-sim.sh --headless --no-window --no-gui
Deploying to AWS Cloud
-
Launch an EC2 Instance
- Use g5.2xlarge (NVIDIA T4 GPU) or g5.4xlarge (RTX 6000 Ada).
- AMI: Deep Learning AMI (Ubuntu 22.04).
-
Install Isaac Sim on AWS
# Follow the same installation steps as above wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-ubuntu2204.pin sudo apt install -y nvidia-omniverse-launcher -
Run Headless Simulation
nohup ./isaac-sim.sh --headless --no-window --no-gui > simulation.log 2>&1 &
Using Omniverse Nucleus for Multi-User Collaboration
-
Start Nucleus Server
omniverse-nucleus-server --headless --port 3000 -
Connect Clients
./isaac-sim.sh --nucleus-host <AWS_IP> --nucleus-port 3000
What’s Next?
- Test Your Setup: Run a simple pick-and-place task using Isaac Sim’s Manipulation extension.
- Generate Synthetic Data: Use Replicator to create 10,000 RGB-D images for training.
- Deploy to Cloud: Scale to 10+ robots using AWS EC2 G5 instances.
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