Artificial vision and language processing for robotics : create end-to-end systems that can power robots with artificial vision and deep learning techniques

Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processi...

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Bibliographic Details
Main Authors: Morena Alberola, Álvaro, (Author), Molina Gallego, Gonzalo, (Author), Garay Maestre, Unai, (Author)
Format: eBook
Language: English
Published: Birmingham, UK : Packt Publishing, 2019.
Subjects:
Artificial vision.
Robotics.
Natural language processing (Computer science)
Neural networks (Computer science)
elektronické knihy
electronic books
ISBN: 9781838557669
1838557660
9781838552268
183855226X
Physical Description: 1 online resource : illustrations

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Table of contents

LEADER 04495cam a2200469 i 4500
001 kn-on1101047599
003 OCoLC
005 20240717213016.0
006 m o d
007 cr cn|||||||||
008 190518t20192019enka ob 001 0 eng d
040 |a EBLCP  |b eng  |e pn  |e rda  |c EBLCP  |d UKAHL  |d N$T  |d OCLCQ  |d YDX  |d OCLCF  |d UKMGB  |d OCLCQ  |d SFB  |d WAU  |d OCLCO  |d UMI  |d OCLCO  |d K6U  |d OCLCQ  |d OCLCO  |d OCLCL 
020 |a 9781838557669  |q (electronic book) 
020 |a 1838557660  |q (electronic book) 
020 |z 9781838552268  |q (paperback) 
020 |z 183855226X  |q (paperback) 
035 |a (OCoLC)1101047599  |z (OCoLC)1100046565  |z (OCoLC)1226354940 
100 1 |a Morena Alberola, Álvaro,  |e author. 
245 1 0 |a Artificial vision and language processing for robotics :  |b create end-to-end systems that can power robots with artificial vision and deep learning techniques /  |c Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre. 
246 3 0 |a Create end-to-end systems that can power robots with artificial vision and deep learning techniques 
264 1 |a Birmingham, UK :  |b Packt Publishing,  |c 2019. 
264 4 |c ©2019 
300 |a 1 online resource :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
336 |a still image  |b sti  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |a Fundamentals of robotics -- Introduction to computer vision -- Fundamentals of natural language processing -- Neural networks with NLP -- Convolutional neural networks for computer vision -- Robot Operating System (ROS) -- Build a text-based dialogue system (Chatbot) -- Object recognition to guide a robot using CNNs -- Computer vision for robotics. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processing commands. You'll study Word2Vec and GloVe embedding techniques, non-numeric data, recurrent neural network (RNNs), and their advanced models. You'll 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. You'll study the ROS and build a conversational agent to manage your robot. You'll also integrate your agent with the ROS and convert an image to text and text to speech. You'll learn to build an object recognition system using a video. By the end of this book, you'll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment. 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. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Artificial vision. 
650 0 |a Robotics. 
650 0 |a Natural language processing (Computer science) 
650 0 |a Neural networks (Computer science) 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Molina Gallego, Gonzalo,  |e author. 
700 1 |a Garay Maestre, Unai,  |e author. 
776 0 8 |i Print version:  |a Alberola, Álvaro Morena.  |t Artificial vision and language processing for robotics.  |d Birmingham : Packt Publishing, 2019  |z 9781838552268  |w (OCoLC)1081397123 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpAVLPR001/artificial-vision-and?kpromoter=marc  |y Full text 

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