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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
by 作者: Alvaro Morena Alberola,Gonzalo Molina Gallego ,Unai Garay Maestre
Publisher Finelybook 出版社: Packt Publishing (April 30,2019)
pages 页数: 356 pages
Language 语言: English
ISBN-10 书号: 183855226X
ISBN-13 书号: 9781838552268
Book Description
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 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.
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
Preface
Chapter 1
Fundamentals of Robotics
Chapter2
Introduction to Computer Vision
Chapter3
Fundamentals of Natural Language Processing
Chapter 4
Neural Networks with NLP
Chapter 5
Convolutional Neural Networks for Computer Vision
Chapter 6
Robot Operating System(ROS)
Chapter7
Build a Text-Based Dialogue System (Chatbot)
Chapter8
Object Recognition to Guide a Robot Using CNNs
Chapter9
Computer Vision for Robotics
Appendix
