Tag: Robot Operating System

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.

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.

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. 

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.

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.

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 […]