FastMapping Algorithm#

For more information on FastMapping, see How it Works.

Run the Sample Application#

  1. Check if your installation has the amr-fastmapping Docker* image.

    docker images |grep amr-fastmapping
#if you have it installed, the result is:
amr-fastmapping

    Note

    If the image is not installed, continuing with these steps triggers a build that takes longer than an hour (sometimes, a lot longer depending on the system resources and internet connection).

  2. If the image is not installed, Intel® recommends re-installing the EI for AMR Robot Kit with the Get Started Guide for Robots.

  3. Check that EI for AMR environment is set:

    echo $AMR_TUTORIALS
# should output the path to EI for AMR tutorials
/home/user/edge_insights_for_amr/Edge_Insights_for_Autonomous_Mobile_Robots_2023.1/AMR_containers/01_docker_sdk_env/docker_compose/05_tutorials

    If nothing is output, refer to Get Started Guide for Robots Step 5 for information on how to configure the environment.

  4. Run the FastMapping Algorithm using a bag of a robot spinning:

    docker compose -f $AMR_TUTORIALS/fastmapping.tutorial.yml up

    Expected output:

    ../_images/64F89B06-1C61-44E7-8C9F-79D37CAB62C1-low.png

  5. To close this, do the following:

    • Type Ctrl-c in the terminal where you did the up command.

    • Run this command in another terminal:

    docker compose -f $AMR_TUTORIALS/fastmapping.tutorial.yml down

Troubleshooting#

For general robot issues, go to: Troubleshooting for Robot Tutorials.