AWS Robotics Blog
Introduction ANT61 robotics is a start-up based in Sydney, Australia, that develops autonomous robots for space applications such as in-orbit satellite servicing to avoid putting human lives at risk. Their robots use AI-based control systems that enable them to perform installation and servicing tasks in unpredictable environments where remote control is impossible. In this post, […]
Introduction Headless robotic simulations with AWS Batch allow robot developers to increase their velocity by running their code through thousands of scenarios and iterating before moving onto physical device testing. The real-world environments and situations a robot can find itself in are nearly endless. What’s worse, it is time consuming and costly to deploy and […]
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 […]
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 […]
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.
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.
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 […]
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.
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 […]