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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

Introduction


Developing software for robots is not as easy as developing any other type of software. To build robots, you need methods and functions that enable you to access sensor information, control robot parts, and connect with the robot. These methods and functions are present in ROS, making it easier to build a virtual robot.

ROS is a framework that is compatible with Ubuntu (Linux) for writing robot software. It is a set of libraries and tools through which it is possible to build and create various robotic behaviors. One of the most interesting features about this framework is that the developed code can be adapted for any other robot. ROS also gives you a chance to work on several machines simultaneously; for instance, if you want to use a robot to collect apples, you can use a computer to obtain the camera information of the apple and process it, another machine to launch the movement that commands the robot, and finally the robot will pick up the apple. By following this workflow...

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