Overview
This AWS Marketplace offering delivers a hardened, pre-configured instance of the ROS 2 Humble development environment optimized for AWS Cloud deployment. By packaging the complete ROS 2 Humble desktop environment with essential tools and AWS services, this solution reduces setup time and complexity for robotics development teams.
What This Suite Contains: The AMI includes the ROS 2 Humble distribution with core components: the Gazebo 11 simulator with ROS integration, RViz2 visualization tool, and Navigation2 stack for autonomous navigation. It comes pre-loaded with development tools including compilers, build systems (colcon, ament), programming libraries (OpenCV, PyTorch), and the AWS CLI. Example packages for common robotics applications and a verification script are included.
Key Features and Integration:
Pre-configured ROS 2 Humble environment ready for development
Integrated simulation with Gazebo 11
Development tools and libraries for Python and C++
AWS service integration capabilities
Fleet monitoring dashboard
Automated installation verification
Regular security and maintenance updates
How It Creates Value: This packaged solution reduces the time and effort required to establish a functional ROS 2 development environment. Teams can begin developing robotic applications immediately without spending days or weeks on environment configuration. The integration with AWS services provides a foundation for scalable deployment and management of robotic systems. The hardened configuration includes security best practices appropriate for development and testing environments.
Target Use Cases:
Robotics software development and testing
Educational and research environments
Prototyping autonomous systems
Simulation and validation of robotic algorithms
Documentation and Tutorials: Complete product documentation, usage tutorials, integration guides, and API references are available at https://galaxys.cloud/ros-2-humble-development-suite-complete-documentation/Â .
Highlights
- Documentation and Tutorials: Complete product documentation, usage tutorials, integration guides, and API references are available at https://galaxys.cloud/ros-2-humble-development-suite-complete-documentation/
- Develop, Simulate and Deploy from the Cloud Bridge the gap between simulation and reality. Run scalable Gazebo simulations with AWS compute power, then deploy the same code to control physical robot fleets through secure cloud connectivity, all from a single, centralized development platform.
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For this offering, Galaxys Cloud does not offer refund, you may cancel at anytime.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
ROS-2.0-ver2025
Additional details
Usage instructions
Usage Instructions
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Launch the Instance from AWS Marketplace Navigate to AWS Marketplace and subscribe to the ROS 2 Humble Development Suite. Configure your EC2 instance, for example a t3.xlarge type with at least 30GB of storage. Ensure your security group allows inbound SSH traffic on port 22 from your IP address. Launch the instance and note its public IP address.
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Connect via SSH After the instance is running, connect to it using SSH. The default username is ubuntu. Use the following command in your local terminal, replacing YOUR_KEY.pem with the path to your private key file and INSTANCE_IP with the public IP address from AWS: ssh -i /path/to/YOUR_KEY.pem ubuntu@INSTANCE_IP
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Verify the Installation Once connected, run the automated verification script to confirm all components are working correctly: ./test_ros2.sh. This script tests the ROS 2 core, example packages, RViz2, and Gazebo installation.
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Source the ROS Environment Before using any ROS 2 commands, source the setup file to configure your environment: source /opt/ros/humble/setup.bash. To avoid sourcing manually each time, you can add this line to your .bashrc file.
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Run a Basic Example Test the communication between ROS 2 nodes. In your first terminal, run a talker node: ros2 run demo_nodes_cpp talker. In a second terminal or new SSH connection, source the environment again and run a listener node: ros2 run demo_nodes_cpp listener. You should see messages being received.
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Start a Simulation You can launch a TurtleBot3 simulation in Gazebo. First, set the robot model: export TURTLEBOT3_MODEL=waffle. Then, launch the simulation world: ros2 launch turtlebot3_gazebo turtlebot3_world.launch.py. In a separate terminal, you can control the robot with your keyboard using: ros2 run turtlebot3_teleop teleop_keyboard.
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Explore Autonomous Navigation Launch the Navigation2 stack for autonomous robot navigation: ros2 launch nav2_bringup tb3_simulation_launch.py. This will start RViz2. You can send navigation goals by clicking the 2D Goal Pose button in RViz2 and selecting a location on the map.
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Connect Physical Robots (Optional) To connect a physical robot, you will need to establish a network bridge. A common method is to use the rosbridge_suite on the robot and within this AMI. Ensure proper network configuration and security settings are in place for production deployment.
Production Security Group:
- TCP 22 from ADMIN_IP
- TCP 11311 from ROBOT_NETWORK
- TCP 9090 from DASHBOARD_CLIENTS
- TCP/UDP 7400-7500 from ROBOT_NETWORK
Documentation and Tutorials:
Complete product documentation, usage tutorials, integration guides, and API references are available at https://galaxys.cloud/ros-2-humble-development-suite-complete-documentation/Â
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Remote support seller@galaxys.cloudÂ
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