Book Image

ROS Programming: Building Powerful Robots

By : Anil Mahtani, Aaron Martinez, Enrique Fernandez Perdomo, Luis Sánchez, Lentin Joseph
Book Image

ROS Programming: Building Powerful Robots

By: Anil Mahtani, Aaron Martinez, Enrique Fernandez Perdomo, Luis Sánchez, Lentin Joseph

Overview of this book

This learning path is designed to help you program and build your robots using open source ROS libraries and tools. We start with the installation and basic concepts, then continue with the more complex modules available in ROS, such as sensor and actuator integration (drivers), navigation and mapping (so you can create an autonomous mobile robot), manipulation, computer vision, perception in 3D with PCL, and more. We then discuss advanced concepts in robotics and how to program using ROS. You'll get a deep overview of the ROS framework, which will give you a clear idea of how ROS really works. During the course of the book, you will learn how to build models of complex robots, and simulate and interface the robot using the ROS MoveIt motion planning library and ROS navigation stacks. We'll go through great projects such as building a self-driving car, an autonomous mobile robot, and image recognition using deep learning and ROS. You can find beginner, intermediate, and expert ROS robotics applications inside! It includes content from the following Packt products: ? Effective Robotics Programming with ROS - Third Edition ? Mastering ROS for Robotics Programming ? ROS Robotics Projects
Table of Contents (37 chapters)
Title page
Copyright and Credits
Packt Upsell
Preface
Bibliography
Index

Creating face tracker ROS packages


Let's start creating a new workspace for keeping the entire ROS project files for this section. You can name the workspace ros_robotics_projects_ws.

Download or clone the source code of the section from GitHub using the following link.

$ git clone https://github.com/qboticslabs/ros_robotics_projects

Now, you can copy two packages named face_tracker_pkg and face_tracker_control from the chapter_2_codes folder into the src folder of ros_robotics_projects_ws.

Do a catkin_make to build the two project packages!

Yes, you have set up the face tracker packages on your system, but what if you want to create your own package for tracking? First, delete the current packages that you copied to the src folder, and use the following commands to create the packages.

Note

Note that you should be in the src folder of ros_robotics_projects_ws while creating the new packages, and there should not be any existing packages from the section's GitHub code.

Switch to the src folder:

...