This post shows how to deploy an EC2 Spot Instance on AWS capable of running O3DE, Ignition Gazebo, and NVIDIA Isaac Sim. We’ll use AWS CDK, Amazon S3, and automated start/stop scripts to create an on-demand GPU simulation environment that preserves project data while keeping compute and storage costs under control.
AWS IoT Greengrass, or Greengrass for short, is a way of deploying software to an edge device, like a server on a factory floor, and managing the lifecycle of that software. From the cloud you can configure the software that is deployed to the edge and how that software is configured, as well as build your own software to be deployed by Greengrass.
Should you connect your robots to the cloud? This post explores how cloud robotics can help you scale fleets, access powerful computing, and offload demanding workloads, along with the costs, connectivity, security, and integration trade-offs to consider.
This post is about connecting ROS2 robots to the cloud with a quick and simple Greengrass setup. I'll guide you through building a sample component that can be hosted on a server connected to your robot fleet, which will connect the robots to AWS IoT Core without modifying the robot software in any way. Setup requires installing only a few prerequisites.
Robot simulation makes development faster and more repeatable, but realistic environments often demand powerful hardware. In this guide, we'll use a GPU-equipped Amazon EC2 instance to run an O3DE multi-robot simulation in the cloud, accessing and controlling it through a remote desktop.
Congratulations! You have a whole lab full of robots running your latest software. Now you want to start looking at an overall view of your robots. It's time to build a fleet overview, and this post will show you how to use Fleet Indexing from AWS IoT Device Management to start your overview.
This post is about how to build an AWS Step Functions state machine and how you can use it to interact with IoT edge devices. In this case, we are sending a smoothie order to a "robot" and waiting for it to make that smoothie.
This post shows how to build two simple functions, running in the cloud, using AWS Lambda. The purpose of these functions is the same - to update the status of a given robot name in a database, allowing us to view the current statuses in the database or build tools on top of it.
In this post, I'll show how to use two major concepts together:
This post shows how to build a Robot Operating System 2 node using Rust, a systems programming language built for safety, security, and performance.