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

Teleoperating and visualizing a robot on a web browser


This is the first project in this chapter. As we have seen in the other chapters, we are starting with a simple project. This web application can teleoperate the robot from the web browser itself using a keyboard. Along with the teleoperation, we can also visualize the robot in the browser itself. Here is the working block diagram of this project:

Figure 3: Working of web-based robot keyboard teleoperation project

Working of the project

In this section, we can see the basic working of this project. Imagine that a Turtlebot simulation is running on your PC. We have to control the robot from the web based teleoperation, so when we press a button from web browser, the key press is detected using JavaScript code and map each key press to ROS Twist message. This is done by using rosbridge clients. The rosbridge client sends Twist message as JSON command to the rosbridge server. The communication is happening over WebSockets as shown in the preceding...