AWS Robotics Blog

Tag: AWS; Robotics; AWS RoboMaker; Simulation

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 […]

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Building a ROS-Application CI Pipeline with AWS RoboMaker

Building and testing robot applications for dynamic and changing real-world environments are difficult and complicated tasks. Developers have to consider virtually endless number of real-world situations, build their applications to withstand a variety of hardware-related issues, and produce algorithms and applications that can be successfully integrated with code written by their teammates. For many companies, […]

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Introducing Batch Simulation API for AWS RoboMaker

There are many benefits of using simulation in robot application development. One, a company may have a new product idea and wants to design, test and iterate on a set of prototypes before investing in physical hardware. Two, once you have a physical robot created, developers may not have access to expensive or large physical […]

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Introducing Log-based Simulation for AWS RoboMaker

Roboticists test their robot applications in simulations to understand how applications behave in different environments. This helps roboticists debug their applications and develop resilient robots. Recently, AWS launched log-based simulation in AWS RoboMaker. Log-based simulation eases the burden of building and managing infrastructure for log-based simulations. In the world of Robot Operating Systems (ROS), a ROS bag is a file containing the […]

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