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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

Product type Paperback

Published in Apr 2019

Publisher Packt

ISBN-13 9781838552268

Length 356 pages

Edition 1st Edition

Languages

Processing

Tools

Processing

Concepts

Artificial Intelligence

Authors (3):

Gonzalo Molina Gallego

Unai Garay Maestre

√Ålvaro Morena Alberola

View More author details

Table of Contents (12) Chapters

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

Chapter 8. Object Recognition to Guide a Robot Using CNNs

Note

Learning Objectives

By the end of this chapter, you will be able to:

Explain how object recognition works
Build a network capable of recognizing objects
Build an object recognition system

Note

This chapter covers how object recognition works by building a network that would be capable of recognizing objects based on a video.

The rest of the chapter is locked

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Authors (3)

Morena Alberola

Morena Alberola

lvaro Morena Alberola is a computer engineer and loves robotics and artificial intelligence. Currently, he is working as a software developer. He is extremely interested in the core part of AI, which is based on artificial vision. lvaro likes working with new technologies and learning how to use advanced tools. He perceives robotics as a way of easing human lives; a way of helping people perform tasks that they cannot do on their own.

See other products by Morena Alberola

Garay Maestre

Garay Maestre

Unai Garay Maestre is a computer science graduate and specializes in the field of artificial intelligence and computer vision. He successfully contributed to the CIARP conference of 2018 with a paper that takes a new approach to data augmentation using variational autoencoders. He also works as a machine learning developer using deep neural networks applied to images.

See other products by Garay Maestre

Molina Gallego

Molina Gallego

Gonzalo Molina Gallego is a computer science graduate and specializes in artificial intelligence and natural language processing. He has experience of working on text-based dialog systems, creating conversational agents, and advising good methodologies. Currently, he is researching new techniques on hybrid-domain conversational systems. Gonzalo thinks that conversational user interfaces are the future.

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