AWS Robotics Blog

AWS Cloud9 is a cloud-based integrated development environment (IDE) that lets you write, run, and debug your code with just a browser. It includes a code editor, debugger, and terminal. AWS Cloud9 comes prepackaged with essential tools for popular programming languages, including JavaScript, Python, PHP, and more. Since AWS Cloud9 IDE is cloud-based, you can […]

In October 2021, we released support for containers in AWS RoboMaker to make it easier for more customers to bring and run their simulations. In this blog, we show you how to use containers to build and package Robot Operating System (ROS) applications to run in AWS RoboMaker. When AWS RoboMaker was first released, we […]

We’re excited to announce the preview of AWS IoT RoboRunner, a new robotics service that makes it easier for enterprises to build and deploy applications that help fleets of robots work together seamlessly. With AWS IoT RoboRunner, you can connect your robots and work management systems enabling you orchestrate work across your operation through a single system view. This new service builds on the same technology used in Amazon fulfillment centers and now we are excited to make it available to all developers to build advanced robotics applications for their businesses.

AWS RoboMaker, a service that allows developers to simulate robotics applications at cloud scale, now supports using containers to run any robot and simulation software of their choice, and provides Graphics Processor Unit (GPU) support for high-fidelity simulation. Now, developers can simulate workloads in AWS RoboMaker that require high-fidelity graphics such as autonomous driving and machine learning. In this blog, you will learn how to use new AWS RoboMaker features to test autonomous vehicles in the CARLA autonomous driving simulator, a high-fidelity simulator based on Unreal Engine.

AWS and Boston Dynamics are working together to bring dynamic sensing to life, taking sensors where they’re needed through mobile robots and using AWS tools to process the data into critical insights for industrial teams. AWS IoT Greengrass 2.0 is an open-source edge runtime that is compatible with Spot’s compute payloads and enables delivery and execution of applications or ML models on the robot. AWS IoT Greengrass also enables Spot to send data back to the cloud with flexibility for varied use-cases.

To support the robotics start-up community, AWS invited early-stage robotics startups for a three-day program to learn and build with AWS Robotics business and technical experts. The AWS Robotics Startup Acceleration program was held virtually, August 17-August 19, 2021 with founders and technical executives from robotics startups. 

In this blog, we introduce a new way to deploy and manage robot software on production fleets at scale using AWS IoT Greengrass 2.0. When combined with the industry-grade tools, libraries, and capabilities of the Robot Operating System 2 (ROS2), developers can bring new cloud-enhanced robot features to market, and reduce the time and effort required to build failure-resilient infrastructure. 

AWS RoboMaker now supports ROS 2 Foxy Fitzroy (Foxy), enabling developers to use Foxy during development or simulation. In ROS 2, Navigation2 (Nav2) is the second generation of the ROS Navigation software stack, enabling robots to move autonomously from point A to B. Nav2 includes new features not previously available in ROS that help developers improve the performance of their robot’s navigation and enables new robotics use cases within logistics, hospitals, or security. In this blog, I review Nav2 features and architecture, and show you how to use Nav2 in AWS RoboMaker.

Amazon Web Services (AWS) has released a new Integrated Developer Environment (IDE) desktop feature within AWS RoboMaker. This new feature allows iterative development and testing of your robotics algorithm code through your web browser, speeding up your development time.

AWS RoboMaker released a tool configuration feature that allows customers to improve control of diagnostic tools with their simulations. This new level of control allows users to configure which default tools to run, change the commands used to run them, and add additional tools. In this blog, we walk through two procedures. First, we walk through how to add a configuration to an existing tool and, second, how to add a new tool to your simulation.