Book Image

Learning ROS for Robotics Programming

By : Aaron Martinez, Enrique Fernández
Book Image

Learning ROS for Robotics Programming

By: Aaron Martinez, Enrique Fernández

Overview of this book

<p>Both the amateur and the professional roboticist who has ever tried their hand at robotics programming will have faced with the cumbersome task of starting from scratch, usually reinventing the wheel. ROS comes with a great number of already working functionalities, and this book takes you from the first steps to the most elaborate designs possible within this software framework.</p> <p>"Learning ROS for Robotics Programming" is full of practical examples that will help you to understand the framework from the very beginning. Build your own robot applications in a simulated environment and share your knowledge with the large community supporting ROS.</p> <p>"Learning ROS for Robotics Programming" starts with the basic concepts and usage of ROS in a very straightforward and practical manner. It is a painless introduction to the fascinating world of robotics, covering sensor integration, modeling, simulation, computer vision, and navigation algorithms, among other topics.</p> <p>After the first two chapters, concepts like topics, messages, and nodes will become daily bread. Make your robot see with HD cameras, or navigate avoiding obstacles with range sensors. Furthermore, thanks to the contributions of the vast ROS community, your robot will be able to navigate autonomously, and even recognize and interact with you, in a matter of minutes.</p> <p>"Learning ROS for Robotics Programming" will give you all the background you need to know in order to start in the fascinating world of robotics and program your own robot. Simply, you put the limit!</p>
Table of Contents (16 chapters)
Learning ROS for Robotics Programming
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

3D visualization


As we have seen in the previous section, there are some devices (such as stereo cameras, 3D laser, and the Kinect sensor) that provide 3D data, usually in the form of point clouds (organized or not). For this reason, it is extremely useful to have tools that visualize this type of data. In ROS, we have rviz, which we will see in the following section, that integrates an OpenGL interface with a 3D world that represents sensors' data in a modeled world. To do so, we will see that, for complex systems, the frame of each sensor and the transformations among them is of crucial importance.

Visualizing data on a 3D world using rviz

With roscore running, we only have to execute the following code to start rviz:

rosrun rviz rviz

We will see the graphical interface in the following screenshot:

To the left, we have the Displays pane, in which we have a tree list of the different elements in the world, which appears in the middle. In this case, we have some elements that are already loaded...