AWS Robotics Blog

Improving control of diagnostic tools in simulations with AWS RoboMaker tool configuration

AWS RoboMaker released a tool configuration feature that allows customers to improve control of diagnostic tools with their simulations. This new level of control allows users to configure which default tools to run, change the commands used to run them, and add additional tools. In this blog, we walk through two procedures. First, we walk through how to add a configuration to an existing tool and, second, how to add a new tool to your simulation.

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Picture of the Spot Robot in Simulation

Clearpath enables robotics prototyping with one-click simulations using AWS

AWS helps Clearpath Robotics make it easier for their customers like Boston Dynamics to prototype robotics applications in simulation. With the AWS CloudFormation Launch Stack, Clearpath’s customers can launch Gazebo simulations in AWS RoboMaker with a click of a button.  

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Cloud Robotics

Deploying ROS applications as Snaps with AWS IoT Greengrass 2.0

AWS recently announced the release of AWS IoT Greengrass 2.0, an edge runtime that offers added flexibility in deploying containerized applications than its predecessor. In this blog, we’ll explore why this improvement is useful for the robotics community, and walk through how you package and deploy Robot Operating System (ROS) applications to devices using AWS IoT Greengrass 2.0.

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How INESC TEC tests and deploys ROS applications with AWS RoboMaker

The Institute for Systems and Computer Engineering, Technology, and Science (INESC TEC) is a research and development institute headquartered at the University of Porto in Portugal. In this blog, we discuss how robotics researchers at INESC TEC automate testing and deployment of their Robot Operating System (ROS)-application in AWS RoboMaker simulation.

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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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