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

Writing a RViz plugin for teleoperation


In this chapter, we design a teleoperation commander in which we can manually enter the teleoperation topic, linear velocity, and angular velocity, as shown in the following:

Figure 7: RViz teleop plugin

The following is a detailed procedure to build this plugin.

Methodology of building RViz plugin

Before starting to build this plugin, we should know how to do it. The standard method to build a ROS plugin is applicable for this plugin too. The difference is that the RViz plugin is GUI based. The RViz is written using a GUI framework called Qt, so we need to create a GUI in Qt, and using Qt APIs, we have get the GUI values and send them to the ROS system.

The following steps describe how this teleoperation RViz plugin is going to work:

  • The dockable panel will have a Qt GUI interface and the user can input the topic, linear velocity, and angular velocity of teleoperation from the GUI.
  • Collect the user input from GUI using Qt signals/slots and publish the values...