Robot controller used in SERL (A Software Suite for Sample-Efficient Robotic Reinforcement Learning)
Serl Website and Paper: https://serl-robot.github.io/
serl_franka_controllers
is a ROS package designed to control Franka Emika Robot through libfranka
and franka_ros
. This package provides a compliant yet accurate Cartesian Impedance Controller for safe online reinforcement learning algorithms, as well as a Joint Position Controller for resetting arm.
Compliance and accuracy is achieved at the same time by limiting the reference point of the Impedance controller to be within a certain distance from the current pose in the realtime loop. This way, a high gain can be used for accuracy without excess force when in contact.
libfranka>=0.8.0
and franka_ros>=0.8.0
according to the Franka FCI Documentation
sudo apt install ros-noetic-libfranka ros-noetic-franka-ros
sudo apt-get install ros-serl_franka_controllers
cd ~/catkin_ws/src
git clone git@github.com:rail-berkeley/serl_franka_controllers.git
cd ~/catkin_ws
catkin_make --pkg serl_franka_controllers
source ~/catkin_ws/devel/setup.bash
The franka_ros
requires a realtime kernel by default. This is not possible if you want to install CUDA on the same machine. A workaround is to ignore the realtime constraint in catkin_ws/src/franka_ros/franka_control/config/franka_control_node.yaml
realtime_config: ignore
To launch the Cartesian Impedance Controller, use:
roslaunch serl_franka_controllers impedance.launch robot_ip:=<RobotIP> load_gripper:=<true/false>
Replace
Compliance parameters for the controller can be adjusted in an interactive GUI by running rosrun rqt_reconfigure rqt_reconfigure
. This can also be achieved in Python code as demonstrated in the example section.
For resetting or moving the robot to a specific joint position, launch the joint position controller:
rosparam set /target_joint_positions '[q1, q2, q3, q4, q5, q6, q7]'
roslaunch serl_franka_controllers joint.launch robot_ip:=<RobotIP> load_gripper:=<true/false>
Here, you also need to replace [q1, q2, q3, q4, q5, q6, q7]
with the desired joint positions.
We include a requirements.txt
and python script to show one way of interacting with the controller. This script shows how to adjust the reference limiting values and how to send robot commands through ROS Topics and dynamic_reconfigure
. To use this, run
conda create -n serl_controller python=3.8
conda activate serl_controller
pip install -r requirements.txt
python test/test.py --robot_ip=ROBOT_IP