AWS Robotics Blog
Category: Internet of Things
AWS empowers SEQSENSE to build Autonomous Security Robots
Introduction According to national institute of population and social security research, the working population in Japan is expected to decrease by 30% in the next 30 years. A rapidly aging population in Japan causes a shortage of labor in the security space. Figure 1: SEQSENSE’s security robot SQ-2 SEQSENSE, a robotics startup company in Japan, aims […]
How Brisa Robotics uses AWS to improve robotics operations
In this post, you’ll learn how Brisa Robotics leverages Amazon Web Services (AWS) to collect, store, and process data from mixed fleets of vehicles to improve customer operations. Brisa transforms non-autonomous machines into fleets of autonomous vehicles that collect data to help customers track key performance metrics and improve operations. Their mission is to enhance […]
How to provide improved data isolation for tenant robots
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 […]
Deploy and Manage ROS Robots with AWS IoT Greengrass 2.0 and Docker
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.
Containerize robot applications for testing in the cloud and deploying at the edge
Robotics developers use the open source Robot Operating System (ROS) to build distributed and complex applications for their robots. Robot developers benefit from using the cloud for building, training, and testing robotic applications at scale with Continuous integration and continuous deployment (CI/CD) workflows for physical testing and updates pushed over the air. Containers provide a […]
How Boston Dynamics and AWS use mobility and computer vision for dynamic sensing
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.
Roomie uses AWS RoboMaker to scale custom robotics development
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.
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.