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

Running a speech-controlled robot application


To run the application, you have to copy the chapter_12_codes/ros_web_ws/speech_commands folder to /var/www/html. If you are in the ros_web_ws folder in Terminal, you can use the following command to do this:

$ sudo cp -r speech_commands /var/www/html

Now run the following ROS launch files to start the TurtleBot simulation, rosbridge, and tf2_republisher nodes:

$ roslaunch turtlebot_gazebo turtlebot_world.launch

Launch the rosbridge server:

$ roslaunch rosbridge_server rosbridge_websocket.launch

Now launch the tf2_web_republisher node using the following command:

$ rosun tf2_web_republisher tf2_web_republisher

Okay, you are done with launching all the ROS nodes. Now, let's open Chrome and enter the following address:

localhost/speech_commands/speechcommands.html

If everything works fine, you will get a window like this:

Figure 9: Speech controller Robot App screen

Here, find the Robot URL box, which has to be set to ws://localhost:9090, and click on the...