AWS RoboMaker Documentation
AWS RoboMaker makes it easier for developers to build robotic applications, and enables developers to run, scale, and automate simulation without managing any infrastructure.
Simulation
Building and testing applications for autonomous robots is challenging, complicated and resource intensive. Traditionally, teams of developers write code to address a wide array of deployment scenarios, the code is integrated, and then the application scenarios are tested on robotics hardware in physical environments. This manual process of development and testing consumes staff time, requires expensive hardware, slows the release cycle for application updates, and cannot be easily scaled.
With simulation, developers can test applications in virtual environments, or worlds, enabling them to increase testing coverage, reduce code errors, and accelerate development velocity. One of the most important benefits of using simulation is the ability to test and train robots in a large number and diverse set of worlds. Scaling simulation unlocks the ability to conduct robust regression testing, reinforcement learning, and synthetic data generation. However, for robotics companies, building simulation worlds, managing simulation infrastructure, and scaling testing is expensive and requires specialized skills. This often limits the use of simulation among robotics companies, and limits the benefits of automated testing at scale.
Simulation with AWS RoboMaker
Simulation WordForge
Additional Information
For additional information about service controls, security features and functionalities, including, as applicable, information about storing, retrieving, modifying, restricting, and deleting data, please see https://docs.aws.amazon.com/index.html. This additional information does not form part of the Documentation for purposes of the AWS Customer Agreement available at http://aws.amazon.com/agreement, or other agreement between you and AWS governing your use of AWS’s services.