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

Understanding the PCL


Before we dive into the code, it's important to understand the basic concepts of both the Point Cloud Library and the PCL interface for ROS. As mentioned earlier, the former provides a set of data structures and algorithms for 3D data processing, and the latter provides a set of messages and conversion functions between messages and PCL data structures. All these software packages and libraries, in combination with the capabilities of the distributed communication layer provided by ROS, open up possibilities for many new applications in the robotics field.

In general, PCL contains one very important data structure, which is PointCloud. This data structure is designed as a template class that takes the type of point to be used as a template parameter. As a result of this, the point cloud class is not much more than a container of points that includes all of the common information required by all point clouds regardless of their point type. The following are the most important...