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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 2. Introduction to Computer Vision FREE CHAPTER 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

Summary


In this chapter, you learned how to work with ROS, from its installation and configuration to the implementation of nodes. You also worked with simulators and its sensors, obtaining information from them and making the acquired information valuable for solving problems. All the exercises and activities covered in the chapter will be useful for you in the following chapters.

In the next chapter, you will work with natural language processing (NPL) and learn how to build a chatbot. If you build a good one, it could be a very interesting tool to add to a robot. You could even use ROS to develop it.

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