Book Image

Artificial Vision and Language Processing for Robotics

By : Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre
Book Image

Artificial Vision and Language Processing for Robotics

By: Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre

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

Introduction


The robotics sector represents the present and the future of humanity. Currently, there are robots in the industrial sector, in research laboratories, in universities, and even in our homes. The discipline of robotics is continually evolving, which is one of the reasons it is worth studying. Every robot needs someone to program it. Even those based on AI and self-learning need to be given initial goals. Malfunctioning robots need technicians and constant maintenance, and AI-based systems need constant data inputs and monitoring to be effective.

In this book, you will learn and practice lots of interesting techniques, focusing on artificial computer vision, natural language processing, and working with robots and simulators. This will give you a solid basis in some cutting-edge areas of robotics.