Skip to content

Tutorial for building and controlling a scara type robot using ros2_control.

License

Notifications You must be signed in to change notification settings

SamHadjes/scara_tutorial_ros2

 
 

Repository files navigation

Scara tutorial ROS2

The ros2_control framework is a realtime control framework designed for general robotics applications that gains more and more attention both for research and industrial purposes. An overview of the ros2_control framework can be found here.

This tutorial is made to understand the basic concepts of controlling a robot using ros2_control. In particular, it describes how to :

scara model

Getting Started

Required setup : Ubuntu 22.04 LTS and ROS2 Humble

  1. Install ros2 packages. The current development is based of ros2 humble. Installation steps are described here.
  2. Source your ros2 environment:
    source /opt/ros/humble/setup.bash
    NOTE: The ros2 environment needs to be sources in every used terminal. If only one distribution of ros2 is used, it can be added to the ~/.bashrc file.
  3. Install colcon and its extensions :
    sudo apt install python3-colcon-common-extensions
  4. Create a new ros2 workspace:
    mkdir ~/ros2_ws/src
  5. Pull relevant packages, install dependencies, compile, and source the workspace by using:
    cd ~/ros2_ws
    git clone https://github.com/ICube-Robotics/scara_tutorial_ros2.git src/scara_tutorial_ros2
    rosdep install --ignore-src --from-paths . -y -r
    colcon build --cmake-args -DCMAKE_BUILD_TYPE=Release --symlink-install
    source install/setup.bash

Acknowledgments

This tutorial is partially inspired from pac48's tutorial and the official ros2_control website.

Contacts

icube

ICube Laboratory, University of Strasbourg, France

Maciej Bednarczyk: [email protected], @github: mcbed

About

Tutorial for building and controlling a scara type robot using ros2_control.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • C++ 51.2%
  • Python 20.1%
  • CMake 16.6%
  • C 10.4%
  • Dockerfile 1.2%
  • Shell 0.5%