AWS Robotics Blog

Category: Technical How-to

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. 

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Introducing upload configurations for AWS RoboMaker Simulation

Introduction AWS RoboMaker now supports data upload configurations within simulation jobs. This capability allows developers to define the type of simulation data they want to upload, choose the upload behavior, and reliably upload the simulation data to their preferred Amazon S3 output location. This functionality makes it easier for developers to review or analyze application […]

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Build an Alexa controlled robot with AWS RoboMaker

Introduction Alexa is Amazon’s cloud-based voice service and Alexa-compatible devices allow users to control their smart devices with voice commands. Today, Alexa is available on hundreds of millions of devices from Amazon echo devices to third-party devices. Alexa Skill Kit (ASK) provides a way for robot developers and manufacturers to build a natural voice interface for their […]

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AWS RoboMaker

Easily record and store robotic application data with the S3 rosbag cloud extension for AWS RoboMaker

The S3 rosbag cloud extension enables customers to easily configure and record data from robots as rosbags, and upload them to Amazon S3, which they can later use to analyze events, troubleshoot existing applications, and provide as inputs to AWS RoboMaker log-based simulation for regression. In this blog, we will review three ROS nodes in the S3 rosbag cloud extension that create and upload rosbag files from the robot to Amazon S3, with hands-on examples of how to use the nodes.

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