Congratulations! In this project, you have learned how to build, train, simulate, and deploy a RL model and robotics application to a robot. In this module, you’ll clean up your environment and delete resources that could incur costs. If you follow the instructions below and delete the S3 bucket, all artifacts including the trained reinforcement learning model will be deleted.

Time to complete module: 5 minutes


  • Instructions: Terminate all resources

    a. Go to Amazon S3 console, find the bucket for the tutorial and delete it.

    Delete bucket

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    Delete bucket

    b. In the AWS RoboMaker console, select “Development environments” in the left panel and choose the environment you want to delete.

    c. In the environment detail page, choose “Edit”.

    Edit dev environment

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    Edit dev environment

    d. In the new window, choose “Delete”.

    Delete dev environment

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    Delete dev environment

    e. Back in the AWS RoboMaker console, select “Robot Applications” in the left panel and choose the application you want to delete, then choose “Delete” in application detail page.

    f. In the AWS RoboMaker console, select “Simulation Applications” in the left panel and choose the simulation you want to delete, then choose “Delete” in application detail page.

    g. In the AWS RoboMaker console, select “Fleets” in the left panel and choose the fleet you want to delete, then choose “Delete” in application detail page.

    h. In the AWS RoboMaker console, select “Robots” in the left panel and choose the robot you want to delete, then choose “Delete” in application detail page.

  • Troubleshooting

    For troubleshooting, visit AWS RoboMaker Troubleshooting in the AWS RoboMaker developer guide.


Now that you have created your first robot application and learned about the basics of AWS RoboMaker, learn how to create additional applications with the developer guide and resources like additional sample applications.