PX4 Setup on Docker
Building Docker Container
Pull the Docker Image
Image Used: osrf/ros:noetic-desktop-full
docker pull osrf/ros:noetic-desktop-fullDockerfile for Building Docker Image
Make your Workspace Directory and paste the Following in the DockerFile
# Use the base image for ROS Noetic Desktop
FROM osrf/ros:noetic-desktop-full
# Set build arguments
ARG USER=ariitk
ARG DEBIAN_FRONTEND=noninteractive
RUN groupadd -r ${USER} && useradd -r -g ${USER} ${USER} && \
mkdir -p /home/${USER} && \
chown -R ${USER}:${USER} /home/${USER} && \
echo ${USER}' ALL=(ALL) NOPASSWD: ALL' >> /etc/sudoers && \
chmod 0440 /etc/sudoers
# Set the working directory
WORKDIR /home/${USER}
# Update package lists and install required ROS packages and tools
RUN apt-get update && \
apt-get install -y \
ros-noetic-moveit \
ros-noetic-ros-controllers \
ros-noetic-gazebo-ros-control \
ros-noetic-rosserial \
ros-noetic-rosserial-arduino \
ros-noetic-roboticsgroup-upatras-gazebo-plugins \
ros-noetic-actionlib-tools \
ros-noetic-rqt \
ros-noetic-rqt-common-plugins \
ros-noetic-rqt-robot-plugins \
terminator \
python \
python3 \
python3-pip \
python3-rosdep \
python3-rosinstall \
python3-rosinstall-generator \
python3-wstool \
python3-catkin-tools \
build-essential \
libgstreamer-plugins-base1.0-dev \
gstreamer1.0-plugins-bad \
gstreamer1.0-plugins-base \
gstreamer1.0-plugins-good \
gstreamer1.0-plugins-ugly \
libprotobuf-dev \
libprotoc-dev \
protobuf-compiler \
libeigen3-dev \
libxml2-utils \
python3-rospkg \
python3-jinja2 \
ros-noetic-mavros \
ros-noetic-mavros-extras \
ros-noetic-mavlink \
nano \
git \
vim && \
rm -rf /var/lib/apt/lists/*
# Install Gazebo & Meshlab
RUN curl -sSL http://get.gazebosim.org | sh && \
apt-get install -y gazebo11 \
meshlab
# PX4 Install Script
RUN wget https://raw.githubusercontent.com/PX4/PX4-Autopilot/refs/heads/main/Tools/setup/ubuntu.sh && \
wget https://raw.githubusercontent.com/PX4/PX4-Autopilot/refs/heads/main/Tools/setup/requirements.txt && \
chmod +x ubuntu.sh && \
./ubuntu.sh && \
rm ubuntu.sh && \
rm requirements.txt
# Install MAVROS
RUN apt-get install -y ros-noetic-mavros \
ros-noetic-mavros-extras && \
wget https://raw.githubusercontent.com/mavlink/mavros/master/mavros/scripts/install_geographiclib_datasets.sh && \
chmod +x install_geographiclib_datasets.sh && \
./install_geographiclib_datasets.sh && \
rm install_geographiclib_datasets.sh
# Install Python packages
RUN apt-get install -y --reinstall libssl-dev && \
rm -rf /usr/lib/python3/dist-packages/OpenSSL /usr/lib/python3/pyOpenSSL-19.0.0.egg-info && \
pip install --upgrade pymavlink MAVProxy && \
pip3 install kconfiglib pyserial future && \
pip3 install --user empy && \
pip3 install --user toml && \
pip3 install --user numpy && \
pip3 install --user pandas && \
pip3 install --user jinja2 && \
pip3 install --user jsonschema && \
pip3 install --user pyyaml pyros-genmsg packaging
# Edit .bashrc
RUN echo '#! /bin/bash' >> /home/${USER}/.bashrc && \
echo 'source /opt/ros/noetic/setup.bash' >> /home/${USER}/.bashrc && \
echo 'source /usr/share/gazebo/setup.sh' >> /home/${USER}/.bashrc && \
echo 'export PATH=/usr/lib/ccache:$PATH' >> /home/${USER}/.bashrc && \
echo 'export GAZEBO_PLUGIN_PATH=/usr/lib/x86_64-linux-gnu/gazebo-11/plugins:$GAZEBO_PLUGIN_PATH ' && \
echo 'export GAZEBO_PLUGIN_PATH=/opt/ros/noetic/lib:$GAZEBO_PLUGIN_PATH'
# Switch to the specified user
USER ${USER}Build Docker Image
Docker Image name: ariitk
docker build -t ariitk .Make a Shared Directory between Host & Docker Container
Shared Directory Path: ~/Docker/Shared-Volumes/ariitk-Container
mkdir -p ~/Docker/Shared-Volumes/ariitk-ContainerNote: You can use any of your directory for this
Running the Docker Container
Container Name: ariitk
sudo docker run -d -it --rm -v ~/Docker/Shared-Volumes/ariitk-Container:/home/Shared-Volume/ -v /tmp/.X11-unix/:/tmp/.X11-unix --net host --env="$(env | grep DISPLAY)" --name ariitk ariitkProvide Permission to DISPLAY for Docker
xhost +local:dockerIf you've problem in running the GUI Applications in the Container try the following methods:
Make sure that output of env | grep DISPLAY should contain 1 line and should look like this: DISPLAY=:1. If not then, manually feed the DISPLAY value in the run command. For example sudo docker run -d -it --rm -v ~/Docker/Shared-Volumes/ariitk-Container:/home/Shared-Volume/ -v /tmp/.X11-unix/:/tmp/.X11-unix --net host --env="DISPLAY=:1" --name ariitk <image_name/image_id>
If error = libGL error: MESA-LOADER: failed to retrieve device information. Add this parameter this in docker run : -e LIBGL_ALWAYS_SOFTWARE=1 and install the required libraries.
Note: We've provided --rm argument, so do all the work in the shared directory. Because all the data outside shared directory would be deleted as soon as the container is stopped. And in order to save any changes in the docker container, use docker commit to create a new version for the changes
Attach to Docker Container
Shell used: bash
docker exec -it ariitk /bin/bashInitial Setup Inside the Container
Install Python Dependencies
pip3 install future kconfiglib
pip3 install --user jsonschema PX4-AutoPilot Setup
cd ~
git clone https://github.com/PX4/PX4-Autopilot --recursive
cd ~/PX4-Autopilot/
make px4_sitl_default gazebo_iris Install MAVROS
mkdir -p ~/catkin_ws/src/
cd ~/catkin_ws/
catkin init
wstool init src
rosinstall_generator --rosdistro ${ROS_DISTRO} mavlink | tee /tmp/mavros.rosinstall
rosinstall_generator --upstream mavros | tee -a /tmp/mavros.rosinstall
wstool merge -t src /tmp/mavros.rosinstall
wstool update -t src -j4
rosdep update
rosdep install --from-paths src --ignore-src -y
sudo ./src/mavros/mavros/scripts/install_geographiclib_datasets.sh
catkin build The .bashrc should look like this
source /opt/ros/noetic/setup.bash
source /usr/share/gazebo/setup.sh
export PATH=/usr/lib/ccache:$PATH
source ~/catkin_ws/devel/setup.bash
source ~/PX4-Autopilot/Tools/simulation/gazebo-classic/setup_gazebo.bash ~/PX4-Autopilot ~/PX4-Autopilot/build/px4_sitl_default >/dev/null 2>/dev/null
export ROS_PACKAGE_PATH=$ROS_PACKAGE_PATH:~/PX4-Autopilot
export ROS_PACKAGE_PATH=$ROS_PACKAGE_PATH:~/PX4-Autopilot/Tools/simulation/gazebo-classic/sitl_gazebo-classic
export GAZEBO_PLUGIN_PATH=$GAZEBO_PLUGIN_PATH:/usr/lib/x86_64-linux-gnu/gazebo-11/pluginsTest the Docker Container
To test the Successful Setup of Docker Container, run the following commands in different Terminals (in order)
roscore
cd ~/PX4-Autopilot/ && make px4_sitl_default gazebo_iris
roslaunch mavros px4.launch fcu_url:=udp://:14540@localhost:14557 Note: If the mavros command fails, free some resources (CPU & RAM) on your PC & Try again in 1 minute. And repeat this setup until it stops crashing. You should see a Drone in the Ground. To Test MAVROS and MAVPROXY. You can ARM the drone. List the ROS Topics and Services with the following commands.
rostopic list
rosservice listSave the Initial Changes
To save the Initial Changes make an image of the container
docker commit ariitk ariitk/px4Export Docker Image
To export a docker Image, type the following command
docker save -o <filename>.tar ariitk/px4Using Docker Image
Import Docker Image
To import a docker image, type the following command
docker load -i <filename>.tarYou can then tag the import image with the following command
docker tag <image_id> my_custom_image:latestYou can find the image_id with the following command
docker image listMake a Shared Directory between Host & Docker Container
Shared Directory Path: ~/Docker/Shared-Volumes/ariitk-Container
mkdir -p ~/Docker/Shared-Volumes/ariitk-ContainerRun Docker Image
Container Name: ariitk
sudo docker run -d -it --rm -v ~/Docker/Shared-Volumes/ariitk-Container:/home/Shared-Volume/ -v /tmp/.X11-unix/:/tmp/.X11-unix --net host --env="$(env | grep DISPLAY)" --name ariitk <image_name/image_id>Provide Permission to DISPLAY for Docker
xhost +local:dockerIf you've problem in running the GUI Applications in the Container try the following methods:
Make sure that output of env | grep DISPLAY should contain 1 line and should look like this: DISPLAY=:1. If not then, manually feed the DISPLAY value in the run command. For example sudo docker run -d -it --rm -v ~/Docker/Shared-Volumes/ariitk-Container:/home/Shared-Volume/ -v /tmp/.X11-unix/:/tmp/.X11-unix --net host --env="DISPLAY=:1" --name ariitk <image_name/image_id>
If error = libGL error: MESA-LOADER: failed to retrieve device information. Add this parameter this in docker run : -e LIBGL_ALWAYS_SOFTWARE=1 and install the required libraries.
Note: We've provided --rm argument, so do all the work in the shared directory. Because all the data outside shared directory would be deleted as soon as the container is stopped. And in order to save any changes in the docker container, use docker commit to create a new version for the changes
Attach to Docker Container
Shell used: bash
docker exec -it ariitk /bin/bashLast updated
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