AWS Robotics Blog
Category: AWS RoboMaker
Guide To AWS Robotics at re:Invent 2020
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.
AWS Robotics announces an open source Cloud Robotics Curriculum
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.
Build an Alexa controlled robot with AWS RoboMaker
This blog references AWS RoboMaker Integrated Development Environment (IDE), a feature that has been deprecated. To follow along with this blog post, use the AWS Cloud9 IDE. See our updated blog on how to Build and simulate robotics applications in AWS Cloud9. Introduction Alexa is Amazon’s cloud-based voice service and Alexa-compatible devices allow users to […]
Navigating robots on Mars: Results of the AWS JPL Open Source Rover Challenge
Earlier this year, we held the AWS JPL Open Source Rover Challenge, a four-month competition where participants from around the world used deep reinforcement learning to drive digital robot models on a virtual Mars landscape. Participants created autonomous navigation models for the robot and trained them in AWS RoboMaker simulation. The virtual robot used in […]
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.
Introduction to Automatic Testing of Robotics Applications
This blog will explore best practices for testing and validation of robotics and autonomous systems running Robot Operating System (ROS) software. We will review how developers can increase their feature velocity and reduce errors by using simulation-based testing.
ROS 2 Foxy Fitzroy: Setting a new standard for production robot development
The highly anticipated Robot Operating System 2 distribution Foxy Fitzroy (ROS 2 Foxy) has been released. ROS 2 Foxy is the most secure and reliable ROS distribution to date for production robotics application development. In this blog, we highlight key features and improvements available in this new release.
Building Robot Operating System (ROS) 2.0 powered robots with the ROSBot 2.0 tutorial and Amazon Web Services (AWS)
The AWS robotics team works with different robotics hardware and software providers to make it easy for developers to build using the Robot Operating System (ROS). This blog discusses robotics reference hardware platforms and a tutorial from Husarion that developers can use to build robotics applications built on the ROS 2 Dashing Diademata distribution.
Fleet and multi-robot simulations in AWS RoboMaker
Robotics developers often need to run a fleet of robots in a simulation. Common scenarios include: Verifying the robots are able to navigate past each other in the same environment Collecting data from multiple robots running at the same time for a custom data-driven application Using machine learning to train robots how to react to […]
Building a ROS-Application CI Pipeline with AWS RoboMaker
This blog uses colcon bundle for robot and simulation applications. AWS RoboMaker now only supports containers to make it easy for you to bring and run your own simulations and applications. To follow along with this blog post, see our updated blog on Preparing ROS application and simulation application containers for AWS RoboMaker. Introduction Building […]