Code Used in this Tutorial Available
Code can be found at moveit_tutorials repository in doc folder. Use kinetic-devel branch.
Generate IKFast Plugin Tutorial¶
In this section, we will walk through configuring an IKFast plugin for MoveIt!
What is IKFast?¶
From Wikipedia: IKFast, the Robot Kinematics Compiler, is a powerful inverse kinematics solver provided within Rosen Diankov’s OpenRAVE motion planning software. Unlike most inverse kinematics solvers, IKFast can analytically solve the kinematics equations of any complex kinematics chain, and generate language-specific files (like C++) for later use. The end result is extremely stable solutions that can run as fast as 5 microseconds on recent processors
MoveIt! IKFast is a tool that generates a IKFast kinematics plugin for MoveIt using OpenRave generated cpp files. This tutorial will step you through setting up your robot to utilize the power of IKFast. MoveIt! IKFast is tested on ROS Groovy with Catkin using OpenRave 0.8 with a 6dof and 7dof robot arm manipulator. While it works in theory, currently the IKFast plugin generator tool does not work with >7 degree of freedom arms.
You should have already created a MoveIt! configuration package for your robot, by using the Setup Assistant.
MoveIt! IKFast Installation¶
Install the MoveIt! IKFast package either from debs or from source.
sudo apt-get install ros-indigo-moveit-ikfast
Inside your catkin workspace
git clone https://github.com/ros-planning/moveit_ikfast.git
Binary Install (only Indigo / Ubuntu 14.04)
sudo apt-get install ros-indigo-openrave
Note: you have to set export PYTHONPATH=$PYTHONPATH:`openrave-config –python-dir (2016.9.1)
Thanks to instructions from Stéphane Caron in https://scaron.info/teaching/troubleshooting-openrave-installation.html
git clone --branch latest_stable https://github.com/rdiankov/openrave.git cd openrave && mkdir build && cd build cmake .. make -j4 sudo make install
Working commit numbers 9c79ea26... comfirmed for Ubuntu 14.04 and comfirmed, according to Stéphane Caron, for 16.04.
Please report your results with this on the moveit-users mailing list.
Create Collada File For Use With OpenRave¶
First you will need robot description file that is in Collada or OpenRave robot format.
If your robot is not in this format we recommend you create a ROS URDF file, then convert it to a Collada .dae file using the following command:
rosrun collada_urdf urdf_to_collada <myrobot_name>.urdf <myrobot_name>.dae
where <myrobot_name> is the name of your robot.
Often floating point issues arrise in converting a URDF file to Collada file, so a script has been created to round all the numbers down to x decimal places in your .dae file. Its probably best if you skip this step initially and see if IKFast can generate a solution with your default values, but if the generator takes longer than, say, an hour, try the following:
rosrun moveit_ikfast round_collada_numbers.py <input_dae> <output_dae> <decimal places>
From experience we recommend 5 decimal places, but if the OpenRave ikfast generator takes to long to find a solution, lowering the number of decimal places should help. For example:
rosrun moveit_ikfast round_collada_numbers.py <myrobot_name>.dae <myrobot_name>.rounded.dae 5
To see the links in your newly generated Collada file
You may need to install package libsoqt4-dev to have the display working:
openrave-robot.py <myrobot_name>.dae --info links
This is useful if you have a 7-dof arm and you need to fill in a –freeindex parameter, discussed later.
To test your newly generated Collada file in OpenRave:
Create IKFast Solution CPP File¶
Once you have a numerically rounded Collada file its time to generate the C++ .h header file that contains the analytical IK solution for your robot.
Select IK Type¶
You need to choose which sort of IK you want. See this page for more info. The most common IK type is transform6d.
Choose Planning Group¶
If your robot has more than one arm or “planning group” that you want to generate an IKFast solution for, choose one to generate first. The following instructions will assume you have chosen one <planning_group_name> that you will create a plugin for. Once you have verified that the plugin works, repeat the following instructions for any other planning groups you have. For example, you might have 2 planning groups:
<planning_group_name> = "left_arm" <planning_group_name> = "right_arm"
Open Source Feedback
See something that needs improvement? Please open a pull request on this GitHub page