Alvaro Morena Alberola - 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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- Book: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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Artificial Vision and Language Processing for Robotics: Create end-to-end systems that can power robots with artificial vision and deep learning techniques: summary, description and annotation
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Create end-to-end systems that can power robots with artificial vision and deep learning techniques
Key Features- Study ROS, the main development framework for robotics, in detail
- Learn all about convolutional neural networks, recurrent neural networks, and robotics
- Create a chatbot to interact with the robot
Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. Youll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. Youll then learn how to control the robot with natural language processing commands. Youll study Word2Vec and GloVe embedding techniques, non-numeric data, recurrent neural network (RNNs), and their advanced models. Youll create a simple Word2Vec model with Keras, as well as build a convolutional neural network (CNN) and improve it with data augmentation and transfer learning. Youll study the ROS and build a conversational agent to manage your robot. Youll also integrate your agent with the ROS and convert an image to text and text to speech. Youll learn to build an object recognition system using a video.
By the end of this book, youll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment.
What you will learn- Explore the ROS and build a basic robotic system
- Understand the architecture of neural networks
- Identify conversation intents with NLP techniques
- Learn and use the embedding with Word2Vec and GloVe
- Build a basic CNN and improve it using generative models
- Use deep learning to implement artificial intelligence(AI)and object recognition
- Develop a simple object recognition system using CNNs
- Integrate AI with ROS to enable your robot to recognize objects
Artificial Vision and Language Processing for Robotics is for robotics engineers who want to learn how to integrate computer vision and deep learning techniques to create complete robotic systems. It will prove beneficial to you if you have working knowledge of Python and a background in deep learning. Knowledge of the ROS is a plus.
Table of Contents- Fundamentals of Robotics
- Introduction to Computer Vision
- Fundamentals of Natural Language Processing
- Neural Networks with NLP
- Convolutional Neural Networks
- Robot Operating System
- Build a Conventional Agent to Manage the Robot
- Object Recognition to Guide a Robot Using CNNs
- Computer Vision for Robotics
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Create end-to-end systems that can power robots with artificial vision and deep learning techniques
lvaro Morena Alberola
Gonzalo Molina Gallego
Unai Garay Maestre
Copyright 2019 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
Authors: lvaro Morena Alberola, Gonzalo Molina Gallego, and Unai Garay Maestre
Technical Reviewer: Rutuja Yerunkar
Managing Editor: Adrian Cardoza
Acquisitions Editor: Kunal Sawant
Production Editor: Samita Warang
Editorial Board: David Barnes, Ewan Buckingham, Jonathan Wray, Simon Cox, Manasa Kumar, Alex Mazonowicz, Douglas Paterson, Dominic Pereira, Shiny Poojary, Erol Staveley, Ankita Thakur, and Mohita Vyas
First Published: April 2019
Production Reference: 1270419
ISBN: 978-1-83855-226-8
Published by Packt Publishing Ltd.
Livery Place, 35 Livery Street
Birmingham B3 2PB, UK
This section briefly introduces the author, the coverage of this book, the technical skills you'll need to get started, and the hardware and software requirements required to complete all of the included activities and exercises.
Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. Youll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. Youll then learn how to control the robot with natural language processing commands. As you make your way through this book, youll study Word2Vec and GloVe embedding techniques, non-numeric data, as well as recurrent neural networks (RNNs) and their advanced models. Youll create a simple Word2Vec model with Keras, build a convolutional neural network (CNN), and improve it with data augmentation and transfer learning. Youll walk through ROS and build a conversational agent to manage your robot. Youll also integrate your agent with ROS and convert an image to text and text to speech. Youll learn how to build an object recognition system with the help of a video clip.
By the end of this book, youll have the skills you need to build a functional application that can integrate with ROS to extract useful information from your environment.
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.
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.
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.
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