AWS Robotics Blog

HAL Robotics 3D Rendering

Adaptive Reprogramming of Industrial Robots and Toolpath Validation in the Cloud

Guest Blog By Sebastian Andraos, Chief Executive Officer, HAL Robotics Ltd. At HAL Robotics, we enable the automation of variable, complex, and uncommon tasks with robots. Over the past 8 years, our software has powered innovation for multi-nationals and subject matter experts in aerospace, construction, transportation, and food & beverage. The HAL Robotics Framework provides […]

robot data isolation

How to provide improved data isolation for tenant robots

Introduction Robots are used in various industries and use cases, such as medical robotics for surgeries, material movement robots for industrial automation, security robots for surveillance and monitoring, fruit picking robots for agriculture, and many more. Depending on the application, these robots create large amounts of data, which may contain sensitive information such as personally […]

ANT61 accelerates reinforcement learning for space robots using AWS

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, […]

Build headless robotic simulations with AWS Batch

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 […]

AWS Cloud Robotics

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 […]