AWS Robotics Blog
Tag: Cloud Robotics
ANYbotics uses AWS to deploy a global robot workforce for industrial inspections
ANYbotics, a pioneering company at the forefront of autonomous mobile robots, is using AWS to deploy their global robot workforce. They revolutionize the operation of large industrial facilities by providing intelligent inspection solutions that improve safety, efficiency, and sustainability. Connecting the physical and digital assets, ANYbotics helps companies with cutting-edge robotics technology to create an […]
New introductory course on how to build, deploy, and manage robots with AWS
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. […]
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 connect your robots to the AWS Cloud and drive data-driven innovation
When you think of robots, do you only think about hardware? Or do you think of delivering robotics solutions that can increasingly reach new levels of autonomy and optimize sophisticated processes? There’s more to robotics technology that meets the eye – physical devices are dependent on systems that train them and provide intelligence. Today, these […]
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.
Accelerating the pace of innovation with robotics startups and AWS
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.
Guide To AWS Robotics at re:Invent 2020
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.
AWS Robotics announces an open source Cloud Robotics Curriculum
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.
Testing map generation at scale with 3D worlds from AWS WorldForge
In this blog, learn about AWS RoboMaker WorldForge, and how 3D world generation can be used to streamline testing and training of core robotic algorithms at scale.
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.