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Artificial Vision and Language Processing for Robotics

You're reading from   Artificial Vision and Language Processing for Robotics Create end-to-end systems that can power robots with artificial vision and deep learning techniques

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781838552268
Length 356 pages
Edition 1st Edition
Languages
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Authors (3):
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Gonzalo Molina Gallego Gonzalo Molina Gallego
Author Profile Icon Gonzalo Molina Gallego
Gonzalo Molina Gallego
Unai Garay Maestre Unai Garay Maestre
Author Profile Icon Unai Garay Maestre
Unai Garay Maestre
Álvaro Morena Alberola Álvaro Morena Alberola
Author Profile Icon Álvaro Morena Alberola
Álvaro Morena Alberola
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Table of Contents (12) Chapters Close

Artificial Vision and Language Processing for Robotics
Preface
1. Fundamentals of Robotics FREE CHAPTER 2. Introduction to Computer Vision 3. Fundamentals of Natural Language Processing 4. Neural Networks with NLP 5. Convolutional Neural Networks for Computer Vision 6. Robot Operating System (ROS) 7. Build a Text-Based Dialogue System (Chatbot) 8. Object Recognition to Guide a Robot Using CNNs 9. Computer Vision for Robotics Appendix

Simulators


Simulators are very good tools for developing and testing robotics software. They make robotics affordable for everyone. Imagine that you are working on a robotics project, where you constantly have to test functionality improvements with your robot. It would require connecting the robot for each test, charging it many times, and moving it with you. All of this can be avoided with a simulator, which can be launched in your computer at any time; it can even simulate the nodes and topics generated by the robot. Do you know any simulator for working with robots?

We are going to use Gazebo, a simulator included in the ROS full installation. In fact, if you chose this option while installing it, you can write "gazebo" in a terminal and it will launch the simulator. The Gazebo interface is shown in Figure 6.4:

Figure 6.5: The Gazebo start point

The next step is to install and set up the robot that we are going to simulate. In this case, we will use a Turtlebot, a wheelie robot that is...

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