Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781838552268
Length 356 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (3):
Arrow left icon
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
Arrow right icon
View More author details
Toc

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 have been introduced to the world of robotics. You have learned about advanced techniques, such as NLP and computer vision, combined with robotics. In this chapter, you have also worked with Python, which you will use in the chapters ahead.

In addition, you have made use of odometry to compute a robot's position without external sensors. As you can see, it is not hard to compute a robot's position if the data required is available. Notice that although odometry is a good technique, in future chapters we will use other methods, which will allow us to work with sensors, and that may be more accurate in terms of results.

In the following chapter, we will look at computer vision and work on more practical topics. For example, you will be introduced to machine learning, decision trees, and artificial neural networks, with the goal of applying them to computer vision. You will use them all during the rest of the book, and you will surely get the chance to use them for personal or professional purposes.

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at £16.99/month. Cancel anytime