This package was written for ROS melodic running under Ubuntu 18.04. Run the following commands to make sure that all additional packages are installed:
mkdir -p catkin_ws/src cd catkin_ws/src git clone https://github.com/erdalpekel/panda_simulation.git git clone https://github.com/erdalpekel/panda_moveit_config.git git clone --branch simulation https://github.com/erdalpekel/franka_ros.git cd .. sudo apt-get install libboost-filesystem-dev rosdep install --from-paths src --ignore-src -y --skip-keys libfranka cd ..
It is also important that you build the libfranka library from source and pass its directory to catkin_make when building this ROS package as described in this tutorial.
Currently it includes a controller parameter config file and a launch file to launch the Gazebo simulation environment and the Panda robot from FRANKA EMIKA in it with the necessary controllers.
Build the catkin workspace and run the simulation:
catkin_make -j4 -DCMAKE_BUILD_TYPE=Release -DFranka_DIR:PATH=/path/to/libfranka/build source devel/setup.bash roslaunch panda_simulation simulation.launch
Depending on your operating systems language you might need to export the numeric type so that rviz can read the floating point numbers in the robot model correctly:
Otherwise, the robot will appear in rviz in a collapsed state.
You can see the full explanation in my blog post.
This repository was extended with a ROS node that communicates with the MoveIt! Planning Scene API. It makes sure that the motion planning pipeline avoids collision objects in the environment specified by the user in a separate directory (
~/.panda_simulation) as json files.
This repository was extended with a node that publishes a simple box object in the Gazebo simulation at the hand of the robot. The position of this box will get updated as soon as the robot moves.
I have added configuration files and additional setup scripts for developing and using this ROS package within a Docker container. Currently user interfaces for Gazebo and RViz are not supported.
The joint specifications in Gazebo were changed from an effort interface to position based interface. Furthermore, the PID controller was substituted with the simple gazebo internal position based control mechanism for a more stable movement profile of the robot. A custom joint position based controller was implemented in order to set the initial joint states of the robot to a valid configuration.
A separate ROS node was implemented that starts a custom joint position controller and initializes the robot with a specific configuration. It switches back to the default controllers after the robot reaches the desired state.
A minimalist web interface based on ReactJS is showcased which can visualize the robot joint data and the visual state in real-time in the browser.