Environment Setup
This guide provides high-level instructions for setting up your development environment for Physical AI and Humanoid Robotics development. For detailed, step-by-step instructions, always refer to the official documentation of each tool.
Operating System
Recommended: Ubuntu 22.04 LTS (Jammy Jellyfish)
Ubuntu 22.04 LTS is the standard platform for ROS 2 Humble and most robotics tools. You have several options:
Option 1: Native Ubuntu Installation
- Install Ubuntu 22.04 LTS as your primary OS or dual-boot
- Best performance and compatibility
Option 2: Virtual Machine
- Use VirtualBox, VMware, or Hyper-V
- Allocate at least 4GB RAM and 50GB disk space
- Enable hardware acceleration if available
Option 3: WSL 2 (Windows)
- Windows Subsystem for Linux 2 on Windows 10/11
- Good for development, but limited for GPU acceleration
- May require additional setup for GUI applications
Core Software Stack
1. ROS 2 (Humble Hawksbill or Iron Irwini)
ROS 2 is the robotic middleware that forms the "nervous system" of your robot.
Installation:
- Follow the official ROS 2 installation guide: https://docs.ros.org/en/humble/Installation.html
- Choose either Humble (LTS) or Iron (latest) based on your needs
- Ensure you source the setup script in your
.bashrc:echo "source /opt/ros/humble/setup.bash" >> ~/.bashrc
Verification:
ros2 --help
2. Gazebo (Classic or Garden)
Gazebo provides physics simulation for robots.
For ROS 2 Humble:
- Gazebo Classic (recommended for compatibility)
- Install via:
sudo apt install ros-humble-gazebo-ros-pkgs
For ROS 2 Iron:
- Gazebo Garden (newer, more features)
- Follow: https://gazebosim.org/docs/garden/install
Verification:
gazebo --version
3. Unity (Optional)
Unity is used for visualization and human-robot interaction scenes.
Installation:
- Download Unity Hub: https://unity.com/download
- Install Unity Editor (2021.3 LTS or newer)
- Install ROS-TCP-Connector package for ROS 2 integration
Note: Unity is optional for basic development but recommended for advanced visualization.
4. NVIDIA Isaac Sim & Isaac ROS
NVIDIA Isaac provides photorealistic simulation and AI perception pipelines.
Prerequisites:
- NVIDIA GPU with CUDA support (RTX 2060 or better recommended)
- NVIDIA drivers (version 470+)
- Docker (for Isaac ROS)
Isaac Sim Installation:
- Follow: https://docs.omniverse.nvidia.com/app_isaacsim/app_isaacsim/install_workstation.html
- Requires NVIDIA Omniverse Launcher
Isaac ROS Installation:
- Follow: https://nvidia-isaac-ros.github.io/getting_started/
- Uses Docker containers for consistent environments
Verification:
docker run --rm nvcr.io/nvidia/isaac/isaac-ros:latest
Development Paths
Path 1: Local Workstation Development
Hardware Requirements:
- CPU: 6+ cores (Intel i7/AMD Ryzen 7 or better)
- RAM: 16GB minimum, 32GB recommended
- GPU: NVIDIA RTX 3060 or better (for Isaac Sim)
- Storage: 100GB+ free space (SSD recommended)
Best for:
- Learning and development
- Simulation-heavy work
- Cost-effective for individuals
Path 2: Cloud + Edge Deployment
Cloud Workstation (e.g., AWS g5/g6e instances):
- GPU-enabled cloud instances for training and simulation
- Cost: ~$1-3/hour depending on instance type
- Best for: Teams, cost-sharing, or when local hardware is limited
Edge Device (NVIDIA Jetson):
- Jetson Orin Nano/NX for deployment
- RealSense cameras, IMU, microphone arrays
- Best for: Real robot deployment and sim-to-real transfer
Pattern: Train-in-Cloud, Deploy-to-Jetson
- Develop and train in cloud workstations
- Deploy optimized models to Jetson edge devices
- Avoids the "latency trap" of cloud-based robot control
The Latency Trap
Why controlling real robots from the cloud is dangerous:
- Network latency (50-200ms+) makes real-time control impossible
- Safety-critical systems require sub-10ms control loops
- Connection drops can cause robot failures or safety hazards
Solution:
- Train models in the cloud (fast iteration, powerful GPUs)
- Deploy inference to edge devices (low latency, reliable)
- Use cloud for monitoring and data collection, not control
Quick Setup Checklist
- Install Ubuntu 22.04 LTS
- Install ROS 2 Humble or Iron
- Install Gazebo
- (Optional) Install Unity Hub and Editor
- Install NVIDIA drivers (if using GPU)
- Install Docker (for Isaac ROS)
- Install Isaac Sim via Omniverse Launcher
- Verify all installations with test commands
- Set up ROS 2 workspace:
mkdir -p ~/ros2_ws/src
Getting Help
If you encounter issues:
- Check official documentation first - Most tools have excellent docs
- ROS 2 Discourse: https://discourse.ros.org/
- Gazebo Forums: https://community.gazebosim.org/
- NVIDIA Isaac Forums: https://forums.developer.nvidia.com/c/omniverse/isaac-sim/
Next Steps
Once your environment is set up: