AWS Robotics Blog
How to connect your robots to the AWS Cloud and drive data-driven innovation
When you think of robots, do you only think about hardware? Or do you think of delivering robotics solutions that can increasingly reach new levels of autonomy and optimize sophisticated processes? There’s more to robotics technology that meets the eye – physical devices are dependent on systems that train them and provide intelligence. Today, these […]
Building cost effective and scalable autonomous driving application with AWS RoboMaker
Introduction MORAI is an Autonomous Vehicle (AV) technology startup which provides a simulation platform for validation and verification of autonomous vehicles. MORAI’s autonomous vehicle simulator, MORAI SIM, is quickly gaining adoption in the AV/ADAS, automotive, robotics and aerospace sectors. Companies from multiple domains, such as autonomous vehicles, UAM, robotics, logistics, are using MORAI SIM to […]
Build and Simulate Robotics Applications in AWS Cloud9
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 […]
Run any high-fidelity simulation in AWS RoboMaker with GPU and container support
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.
Deploy and Manage ROS Robots with AWS IoT Greengrass 2.0 and Docker
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.
Containerize robot applications for testing in the cloud and deploying at the edge
Robotics developers use the open source Robot Operating System (ROS) to build distributed and complex applications for their robots. Robot developers benefit from using the cloud for building, training, and testing robotic applications at scale with Continuous integration and continuous deployment (CI/CD) workflows for physical testing and updates pushed over the air. Containers provide a […]
Build and simulate a Mini Pupper robot in the cloud without managing any infrastructure
AWS RoboMaker provides a comprehensive cloud solution for robotics development. It features fully managed simulation capabilities built on scalable infrastructure. In this post, we use a simple Mini Pupper sample application to demonstrate how to use AWS RoboMaker for robotics application development, testing, and simulation.
Preparing ROS application and simulation containers for AWS RoboMaker
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 […]
How Boston Dynamics and AWS use mobility and computer vision for dynamic sensing
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.
Accelerating the pace of innovation with robotics startups and AWS
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.