AWS Robotics Blog

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.

Roomie leverages AWS and open-source tools to build and deploy a wide variety of custom robot solutions for their customers across Mexico and Latin America.

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.  

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.

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.

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 […]

Join AWS Robotics experts and innovative robotics companies at re:Invent this year to learn how to advance and speed up efforts to build robotics applications. 

Amazon Web Services (AWS) Robotics has released an introductory Cloud Robotics Curriculum designed to help students, educators, and entry level developers build robotics applications with Robot Operating System (ROS) and AWS RoboMaker.

In this blog, learn about AWS RoboMaker WorldForge, and how 3D world generation can be used to streamline testing and training of core robotic algorithms at scale.

In this blog, we walk you through the steps required to train a machine learning model using RL on AWS RoboMaker. Specifically, we familiarize you with the development environment, then define the steps required to complete RL machine learning within AWS RoboMaker.