AWS Robotics Blog

Category: Internet of Things

Figure 1: SEQSENSE’s security robot SQ-2

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 […]

robot data isolation

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 […]

Boston Dynamics Spot Robot

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.

Cloud Robotics

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.