Artificial Vision and Language Processing for Robotics
By :
Artificial Vision and Language Processing for Robotics
By:
Overview of this book
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.
Table of Contents (12 chapters)
Artificial Vision and Language Processing for Robotics
Preface
Free Chapter
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
Appendix
Customer Reviews