Get Started Guide

  • 2022.3
  • 09/26/2022
  • Public Content

Step 1: Prepare the Target System

Make sure your target system has a fresh installation of Ubuntu* Linux* that corresponds to the version of Edge Insights for Autonomous Mobile Robots (EI for AMR) that you downloaded. If you need help installing Ubuntu*, follow these steps:
  1. Download Ubuntu’s Ubuntu for Intel IoT platforms ISO file to your developer workstation.
  2. Create a bootable flash drive using an imaging application, such as Startup Disk Creator, included with your Ubuntu* installation.
  3. After flashing the USB drive, power off your target system, insert the USB drive, and power on the target system.
    If the target system doesn’t boot from the USB drive, change the boot priority in the system BIOS.
  4. Follow the prompts to install Ubuntu* with the default configurations. For detailed instructions, see the Ubuntu* guide.
    When creating your login details, do not use
    eiforamr
    as a username because it is used in the EI for AMR Docker* images. If the system has this username, it crashes when it tries to open the EI for AMR Docker* images using this command:
    ./run_interactive_docker.sh eiforamr-full-flavour-sdk:<TAG> eiforamr
    .
  5. Power down your target system and remove the USB drive.
  6. Power up the target system. You see Ubuntu* Desktop is successfully installed.
  7. Install udev rules for Intel® RealSense™ cameras.
    git clone https://github.com/IntelRealSense/librealsense # Copy the 99-realsense-libusb.rules files to the rules.d folder cd librealsense sudo cp config/99-realsense-libusb.rules /etc/udev/rules.d/ sudo udevadm control --reload-rules sudo udevadm trigger

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.