Table of contents
1.
Introduction
1.1.
What is AWS RoboMaker?
2.
Setting up AWS RoboMaker
2.1.
To create an AWS account
2.2.
Create an IAM user and sign in
3.
AWS RoboMaker features
4.
Simulation With AWS RoboMaker
5.
FAQs
5.1.
What is a simulation application in RoboMaker?
5.2.
What are the facilities provided by RoboMaker Simulation?
6.
Conclusion
Last Updated: Mar 27, 2024
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AWS RoboMaker

Author Akash Nagpal
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Introduction

Amazon Web Services (AWS) is a comprehensive cloud computing platform that comprises infrastructure as a service (IaaS), platform as a service (PaaS), and packaged software as a service (SaaS) solutions. AWS services may provide a company with computing power, database storage, and content distribution resources.

What is AWS RoboMaker?

AWS RoboMaker is a cloud-based simulation tool for robotics developers that allows them to perform, scale, and automate simulations without managing any infrastructure. Robotics developers may use AWS RoboMaker to scale and automate simulation workloads at a low cost, perform large-scale and parallel simulations with a single API request, and generate user-defined, randomised 3D virtual environments. You may use the simulation service to speed up application testing and create hundreds of new worlds using pre-defined templates.

AWS RoboMaker can automated testing within a continuous integration and delivery (CI/CD) pipeline, training reinforcement models with high volumes of iterative trials, and connecting multiple concurrent simulations to your fleet management software for testing. When combined with AWS machine learning, monitoring, and analytics services, robots can stream data, navigate, communicate, comprehend, and learn.

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Setting up AWS RoboMaker

When you link up for Amazon Web Services (AWS), all their services, including AWS RoboMaker, are instantly added to your account. You are only charged for the services that you utilise.

To create an AWS account

  1. Open Amazon Signup
  2. Follow the online instructions.
  3. Part of the sign-up procedure involves receiving a phone call and entering a verification code on the phone keypad.

Create an IAM user and sign in

You receive a single sign-in identity when you establish an AWS account. This grants access to all of the account's AWS services and resources. The AWS account root user is the name given to this user. You have access to all of the AWS resources in your account when you sign in to the AWS Management Console with the credentials you used to create the account.

We highly advise against using the root user for tasks other than administrative ones. Instead, follow the advice in this article. Individual IAM users can be created. Create an administrator-level AWS Identity and Access Management (IAM) user. Then, save your root user credentials in a safe place and only use them for a few account and service administration activities.

AWS RoboMaker features

  • Simulation with AWS RoboMaker - It's A completely managed simulation service that allows you to perform simulations without deploying or managing any infrastructure. The service can handle large-scale and parallel simulations, and it scales up or down automatically depending on the complexity of the tested scenarios. The AWS RoboMaker simulation may be used to run ROS, bespoke robot applications, Gazebo, Unity, Unreal, Nvidia Isaac-based simulations, and other robot software and simulators.
  • Creating worlds with Simulation WorldForge – Create hundreds of pre-defined, randomised simulation worlds that closely resemble real-world situations without investing in world creation infrastructure or managing it. Simulation WorldForge now offers worlds for interior residential scenarios, replete with floor layouts and furnishings that can be customised.
  • Development with AWS RoboMaker – AWS Cloud9 IDE provides a tailored environment for robotics development. The environment is already set up using ROS and is connected to other AWS RoboMaker features. You can use graphical tools and a terminal to control build configurations, start simulation tasks, and inspect running simulations.

Simulation With AWS RoboMaker

An AWS RoboMaker simulation task combines a robot application with a cloud-based simulation programme. You can engage with a simulation task while it's running by utilising graphical tools and a terminal to see sensor data and manipulate robot components. 

The following topics explain how to use AWS RoboMaker simulation tasks and how to execute, configure, manage, log, and batch them.

  • Running a simulation 
  • Configuring a simulation
  • Managing a simulation
  • Logging a simulation
  • Batching simulations

FAQs

What is a simulation application in RoboMaker?

A simulation application consists of a 3D simulation world and simulator plugins that govern a robot's mobility in that world. To operate with RoboMaker Simulation, you must develop your simulation application source code to X86 architecture, just like a robot program.

What are the facilities provided by RoboMaker Simulation?

RoboMaker Simulation offers a fully controlled computing infrastructure for large-scale simulations. RoboMake Simulation WorldForge allows you to construct hundreds of pre-defined, randomized simulation worlds that accurately mirror real-world situations without having to invest in the world generating infrastructure or manage it.

Conclusion

In this article, we have extensively discussed Amazon RoboMaker, setting up AWS Robomaker and its features.

We hope this blog has helped you enhance your knowledge regarding the Amazon Robomaker service from AWS. Some official documentation on big data that can help you improve your understanding is AWS Ground station and Amazon ground station features.

If you would like to learn more, check out our articles on AWS vs. GCPcloud platform comparison, and 10 AWS best books

Practice makes a man perfect. To practice and improve yourself in the interview, you can check out Top 100 SQL problemsInterview experienceCoding interview questions, and the Ultimate guide path for interviews.

Do upvote our blog to help other ninjas grow. Happy Coding!

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