Listing Thumbnail

    ROS 2 Humble Development Suite|Robotics Operating System with Support GC

     Info
    Deployed on AWS
    AWS Free Tier
    ROS 2 Humble Development Suite provides a pre-configured, production-ready ROS 2 environment on AWS Cloud. This hardened AMI includes ROS 2 Humble, Gazebo, RViz2, and Navigation2 along with essential development tools, hardware drivers, and AWS integration services. Designed for robotics development teams, it enables rapid prototyping, simulation, and deployment of robotic applications with built-in monitoring and management tools. Monthly subscription includes support and maintenance. This product wherein additional charges apply for support provided by Galaxy.

    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/ .

    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.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 22.04 LTS

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    ROS 2 Humble Development Suite|Robotics Operating System with Support GC

     Info
    Pricing is based on a fixed subscription cost and actual usage of the product. You pay the same amount each billing period for access, plus an additional amount according to how much you consume. The fixed subscription cost is prorated, so you're only charged for the number of days you've been subscribed. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.
    If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier  for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier  for more details.

    Fixed subscription cost

     Info
    Monthly subscription
    $1,500.00/month

    Usage costs (708)

     Info
    • ...
    Dimension
    Cost/hour
    t2.large
    Recommended
    $2.50
    t3.micro
    $0.00
    p5en.48xlarge
    $2.50
    u7i-8tb.112xlarge
    $2.50
    m5ad.12xlarge
    $2.50
    x8aedz.large
    $2.50
    r5n.12xlarge
    $2.50
    g6.16xlarge
    $2.50
    r7a.medium
    $2.50
    i3.xlarge
    $2.50

    Vendor refund policy

    For this offering, Galaxys Cloud does not offer refund, you may cancel at anytime.

    How can we make this page better?

    We'd like to hear your feedback and ideas on how to improve this page.
    We'd like to hear your feedback and ideas on how to improve this page.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    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

    1. 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.

    2. 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

    3. 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.

    4. 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.

    5. 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.

    6. 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.

    7. 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.

    8. 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/ 

    Support

    Vendor support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Similar products

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 reviews
    No customer reviews yet
    Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.