Artificial Vision and Language Processing for Robotics

封面

版权页

Preface

About

About the Book

Chapter 1 Fundamentals of Robotics

Introduction

History of Robotics

Artificial Intelligence

Robot Positioning

Summary

Chapter 2 Introduction to Computer Vision

Introduction

Basic Algorithms in Computer Vision

Introduction to Machine Learning

Summary

Chapter 3 Fundamentals of Natural Language Processing

Introduction

NLP in Python

Topic Modeling

Language Modeling

Summary

Chapter 4 Neural Networks with NLP

Introduction

Recurrent Neural Networks

Long Short-Term Memory

Neural Language Models

Summary

Chapter 5 Convolutional Neural Networks for Computer Vision

Introduction

Fundamentals of CNNs

Building Your First CNN

Improving Your Model - Data Augmentation

State-of-the-Art Models - Transfer Learning

Summary

Chapter 6 Robot Operating System (ROS)

Introduction

ROS Concepts

ROS Commands

Installation and Configuration

Catkin Workspaces and Packages

Publishers and Subscribers

Simulators

Summary

Chapter 7 Build a Text-Based Dialogue System (Chatbot)

Introduction

Word Representation in Vector Space

Dialogue Systems

Summary

Chapter 8 Object Recognition to Guide a Robot Using CNNs

Introduction

Multiple Object Recognition and Detection

Multiple Object Recognition and Detection in Video

Summary

Chapter 9 Computer Vision for Robotics

Introduction

Darknet

YOLO

Summary

Appendix

About

Chapter 1: Fundamentals of Robotics

Chapter 2: Introduction to Computer Vision

Chapter 3: 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)

Chapter 7: Build a Text-Based Dialogue System (Chatbot)

Chapter 8: Object Recognition to Guide a Robot Using CNNs