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

Summary


In this chapter, we have given you an overview of the Computer Vision tools provided by ROS. We started by showing how we can connect and run several types of cameras, particularly FireWire and USB ones. The basic functionality to change their parameters was presented, so now you can adjust certain parameters to obtain images of good quality. Additionally, we provided a complete USB camera driver example.

Then, we showed how you can calibrate the camera. The importance of calibration is the ability to correct the distortion of wide-angle cameras, particularly cheap ones. The calibration matrix also allows you to perform many Computer Vision tasks, such as visual odometry and perception.

We showed how you can work with stereo vision in ROS and how you can set up an easy solution with two inexpensive webcams. We also explained the image pipeline, several APIs that work with Computer Vision in ROS, such as cv_bridge and image_transport, and the integration of OpenCV within ROS packages...