AWS Robotics Blog
Author: Vamshi Konduri
Vamshi is a Senior Solutions Architect for Robotics at AWS, and helps customers solve challenging problems in robotics with AWS services, software, and by defining solution architectures. He is a Carnegie Mellon alum and has worked at startups, mid-sized and large companies bringing in the experience from a decade of working in this field.
Introducing upload configurations for AWS RoboMaker Simulation
Introduction AWS RoboMaker now supports data upload configurations within simulation jobs. This capability allows developers to define the type of simulation data they want to upload, choose the upload behavior, and reliably upload the simulation data to their preferred Amazon S3 output location. This functionality makes it easier for developers to review or analyze application […]
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.
Fleet and multi-robot simulations in AWS RoboMaker
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 […]