Wandering Application with Multi-camera Rtabmap and AAEON Robot Kit#
This tutorial explains how to use Rtabmap with two Intel® RealSense™ cameras and an AAEON robot kit.
Run the Sample Application#
Check if your installation has the all necessary Docker* images.
docker images |egrep "amr-aaeon-amr-interface|amr-ros-base|amr-realsense|amr-ros-base-teleop|amr-imu-tools|amr-rtabmap|amr-nav2|amr-wandering" #if you have them installed, the result is: amr-aaeon-amr-interface amr-ros-base amr-realsense amr-ros-base-teleop amr-imu-tools amr-rtabmap amr-nav2 amr-wandering
Note
If these images are 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). Intel® recommends checking your installation with FastMapping Algorithm or installing the Robot Complete Kit with the Get Started Guide for Robots.
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.
Prepare the environment for two cameras. Replace 11111111111 and 33333333333 with the serial numbers of your two Intel® RealSense™ cameras. If you don’t know your camera serial numbers, you can leave the default values and extract the actual values from the error logs.
export CAMERA_FRONT_SERIAL_NUMBER=11111111111 export CAMERA_BACK_SERIAL_NUMBER=33333333333
Use
docker compose
to execute the Wandering app Docker* container:docker compose -f $AMR_TUTORIALS/aaeon_2_cameras_rtabmap.tutorial.yml up 2> errlogs.txt 1> logs.txt
This command will write logs to a text file named
logs.txt
. It is recommended to log to a file rather than the console so that navigating the large quantity of logs is easier.Expected result:
The AAEON robot kit starts wandering. The robot’s path and perspective view should be visible within rtabmap-viz. (For more clarity, try right-clicking on 3d view and enable free camera, view of grid, and frustums of cameras) The green lines, connecting orange tool box show the loop closure.
To stop the Wandering app, do the following:
Type
Ctrl-c
in the terminal executing the Docker* containerRemove the stopped containers:
docker compose -f $AMR_TUTORIALS/aaeon_2_cameras_rtabmap.tutorial.yml down --remove-orphans
Troubleshooting#
To run this tutorial with a different setup, you need to modify the 01_docker_sdk_env/artifacts/01_amr/amr_generic/config/aaeon_2_cameras_realsense_model.urdf
file.
This file defines the relative locations of the cameras and the camera frustums.
If the .yml
is started with a different user, the Gazebo* model fails.
In case of such a failure, verify that the file 01_docker_sdk_env/docker_compose/01_amr/.env
contains the line
CHOOSE_USER=eiforamr
For general robot issues, refer to: Troubleshooting for Robot Tutorials.