AWS Robotics Blog
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.
Read MoreHow 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.
Read MoreIntroducing 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 […]
Read MoreGuide 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.
Read MoreAWS 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.
Read MoreTesting map generation at scale with 3D worlds from AWS WorldForge
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.
Read MoreEscape from the maze by training a Reinforcement Learning model on AWS RoboMaker
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.
Read MoreTesting a PR2 Robot in a simulated Hospital World
Nowadays, risk of spreading disease is a key concern in hospitals, where doctors, nurses and other caregivers are on the front lines helping patients. Hospitals have started using robots in daily operations such as contactless delivery and room disinfection to reduce risk of spreading disease. As the need for robots in healthcare grows, better tools are needed to build, test, and deploy robotics applications quickly and safely. Amazon Web Services (AWS) has developed a Gazebo simulated Hospital World and published it as open source so that robotics companies within the Healthcare industry can more easily test their robots in a simulated hospital environment. In this blog, I will provide an overview of the hospital and share my experience using it to test a PR2 robot, including software failures that I encountered that you may find helpful.
Read MoreBuild 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 […]
Read MoreNavigating 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 […]
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