Open source simulator for maritime robotics researchers
Plankton is an initiative aiming at simplifying robotics research in the maritime domain. It is a maritime environment simulator with an open source core, and a special focus on ease of use, stability, speed and sim to real. Its middleware of choice is ROS 2.
We intend to build a sustainable and open source core simulator for maritime robotics research. This core will support flexible specification of sensor suites and environmental conditions.
This project benefits from great open source advances in the simulation domain, mainly ROS, gazebo and its plugin UUV Simulator.
The first iteration of the projet is built from UUV Simulator and gazebo 9. We made UUV Simulator compatible with ROS2. In the following months, we intend to improve the performance (speed) of the simulator, and to test different alternatives to gazebo 9. We will choose the best simulation framework according to our users present and future needs.
We released a beta version of UUV Simulator for ROS 2 in September, and plan to release a v1 in October.
You can contribute by reporting bugs, proposing new features, improving documentation, contributing to code.
Use our issue section on GitHub. Please check before that the issue is not already reported.
Please check first the list of feature requests. If it is not there and you think is a feature that might be interesting for users, please submit your request as a new issue.
If you feel something is missing in the documentation, please don't hesitate to open an issue to let us know. Even better, if you think you can improve it yourself, it would be a great contribution to the community!
So you are considering making a code contribution, great! We love to have contributions from the community. Before starting hands-on on coding, please check out our issue board to see if we are already working on that, it would be a pity putting an effort into something just to discover that someone else was already working on that. In case of doubt or to discuss how to proceed, please contact one of us (or send an email to info@liquid-tech.ai).
Plankton currently relies (and has only been tested with) on Ubuntu 18.04, ROS 2 Eloquent and Gazebo 9, even if the package should work with later versions, considering some adjustments.
If you don’t have ROS 2 eloquent installed, follow the instructions below and prefer to install the ros-eloquent-desktop package:
https://index.ros.org/doc/ros2/Installation/Eloquent/Linux-Install-Debians/
If you don't have Gazebo 9 installed, open a terminal and follow the steps below:
sudo sh -c 'echo "deb http://packages.osrfoundation.org/gazebo/ubuntu-stable `lsb_release -cs` main" > /etc/apt/sources.list.d/gazebo-stable.list'
wget https://packages.osrfoundation.org/gazebo.key -O - | sudo apt-key add -
sudo apt-get update
sudo apt-get install gazebo9
sudo apt-get install libgazebo9-dev
You can write gazebo in a terminal to make sure that gazebo runs correctly. Write gazebo --version to ensure that the version number is 9.X.
For more information about the installation of Gazebo, refer to the official installation documentation (beware that the default installation command will not install the version 9): http://gazebosim.org/tutorials?tut=install_ubuntu&cat=install
Write in a terminal:
sudo apt install ros-eloquent-gazebo-ros-pkgs
See http://gazebosim.org/tutorials?tut=ros2_installing&cat=connect_ros for more detailed information about gazebo and ROS 2 connection.
If you don’t have a ROS 2 workspace yet, create a workspace that will contain your projects. In this installation guide, we choose an original name for this directory, ros2_ws:
mkdir -p ~/ros2_ws/src
Move to the src directory:
cd ~/ros2_ws/src
Make sure git is installed:
sudo apt install git
Now, clone the Plankton repository:
git clone https://www.github.com/Liquid-ai/Plankton.git
You need to source 3 different files described below to configure ROS 2 and Gazebo environment variables. Write the following each time you start a new terminal to deal with ROS 2 / Gazebo stuff, or prefer to add them at the end of your .bashrc file with gedit ~/.bashrc. For the latter, don’t forget to source your .bashrc to enforce the update after saving these changes, or open a fresh terminal.
- For ROS 2 variables
source /opt/ros/eloquent/setup.bash - For your installation workspace (change the path accordingly)
source $HOME/ros2_ws/install/setup.bash - For Gazebo
source /usr/share/gazebo/setup.sh
In order to download missing packages, install ROS dependency manager. Write the commands below in a terminal:
sudo apt install python3-rosdep
sudo rosdep init
rosdep update
Browse to the root of your workspace and check for missing dependencies:
cd ~/ros2_ws/
rosdep install -i --from-path src --rosdistro eloquent -y
Install Colcon, the build tool system:
sudo apt install python3-colcon-common-extensions
Build the Plankton repository:
colcon build --packages-up-to plankton
Now, install the XML / YAML frontend for launch files, which are missing in Eloquent:
sudo apt install ros-eloquent-launch-xml
sudo apt install ros-eloquent-launch-yaml
Next step is… No next step, you are already done! If everything went well, you should be able to run example cases.
Open a new terminal (don’t forget to source ROS 2 / Gazebo files if necessary) and write as below to open a gazebo world:
ros2 launch uuv_gazebo_worlds ocean_waves.launch
Spawn the rexrov robot:
ros2 launch uuv_descriptions upload_rexrov.launch mode:=default x:=0 y:=0 z:=-20 namespace:=rexrov
Add a joystick node to control it remotely:
roslaunch uuv_control_cascaded_pid joy_velocity.launch uuv_name:=rexrov model_name:=rexrov joy_id:=0
Here, joy_id represents your joystick id, defined in your OS. You can determine what is your id by installing sudo apt-get install jstest-gtk and running it.
A more complete documentation of the UUV Simulator features is available here:
https://uuvsimulator.github.io/
Beware that the UUV Simulator documentation is written for ROS 1, so you will have to make adjustments on given commands to make it work in Plankton.
It is a problem affecting eloquent and launch files. Prefix your ros2 launch command with stdbuf -o L. If you are using python launch file, you can launch your node with the emulate_tty argument:
Node(
package='package_name',
node_executable='package_exec',
output='screen',
emulate_tty=True,
)
Try to add the following line to your ~/.bashrc file
export LIBGL_ALWAYS_SOFTWARE=1
Plankton is distributed under Apache License version 2.0