From autonomous mobile robots (AMRs) and robotic arms to drones and uncrewed surface vessels (USVs), AWS provides a variety of cloud and edge services that customers use to build next generation robots. Next generation robots are connected – either periodically in denied, disrupted, intermittent, or limited (DDIL) network environments or consistently under reliable network conditions. […]
To support the robotics start-up community, AWS invited early-stage robotics startups for a three-day program to learn and build with AWS Robotics business and technical experts. The AWS Robotics Startup Acceleration program was held virtually, August 17-August 19, 2021 with founders and technical executives from robotics startups.
AWS RoboMaker now supports ROS 2 Foxy Fitzroy (Foxy), enabling developers to use Foxy during development or simulation. In ROS 2, Navigation2 (Nav2) is the second generation of the ROS Navigation software stack, enabling robots to move autonomously from point A to B. Nav2 includes new features not previously available in ROS that help developers improve the performance of their robot’s navigation and enables new robotics use cases within logistics, hospitals, or security. In this blog, I review Nav2 features and architecture, and show you how to use Nav2 in AWS RoboMaker.
Amazon Web Services (AWS) has released a new Integrated Developer Environment (IDE) desktop feature within AWS RoboMaker. This new feature allows iterative development and testing of your robotics algorithm code through your web browser, speeding up your development time.
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.
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.
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.