Category: Best Practices
Introduction Robots are used in various industries and use cases, such as medical robotics for surgeries, material movement robots for industrial automation, security robots for surveillance and monitoring, fruit picking robots for agriculture, and many more. Depending on the application, these robots create large amounts of data, which may contain sensitive information such as personally […]
In this blog, we introduce a new way to deploy and manage robot software on production fleets at scale using AWS IoT Greengrass 2.0. When combined with the industry-grade tools, libraries, and capabilities of the Robot Operating System 2 (ROS2), developers can bring new cloud-enhanced robot features to market, and reduce the time and effort required to build failure-resilient infrastructure.
AWS and Boston Dynamics are working together to bring dynamic sensing to life, taking sensors where they’re needed through mobile robots and using AWS tools to process the data into critical insights for industrial teams. AWS IoT Greengrass 2.0 is an open-source edge runtime that is compatible with Spot’s compute payloads and enables delivery and execution of applications or ML models on the robot. AWS IoT Greengrass also enables Spot to send data back to the cloud with flexibility for varied use-cases.
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.
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.
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.
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.