rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Artificial vision and language processing for robotics
    sub title: create end-to-end systems that can power robots with artificial vision and deep learning techniques
  title info:
    title: Create end-to-end systems that can power robots with artificial vision and deep learning techniques
  name:
    name part: Morena Alberola, Álvaro
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Molina Gallego, Gonzalo
    role:
      role term: author.
  name:
    name part: Garay Maestre, Unai
    role:
      role term: author.
  name:
    name part: Knovel (Firm)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2019
    copyright date: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations
  abstract: 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.
  table of contents: 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.
  note: Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre.
  note: Includes bibliographical references and index.
  subject:
    topic: Artificial vision
  subject:
    topic: Robotics
  subject:
    topic: Natural language processing (Computer science)
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Robotics
  subject:
    topic: Natural Language Processing
  subject:
    topic: Neural Networks, Computer
  subject:
    topic: Vision artificielle (Cécité)
  subject:
    topic: Robotique
  subject:
    topic: Traitement automatique des langues naturelles
  subject:
    topic: Réseaux neuronaux (Informatique)
  subject:
    topic: Artificial vision
  subject:
    topic: Natural language processing (Computer science)
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Robotics
  classification: TJ211
  classification: 629.892
  related item:
    title info:
      title: Artificial vision and language processing for robotics
    name:
      name part: Alberola, Álvaro Morena.
    origin info:
      publisher: Birmingham : Packt Publishing, 2019
    identifier: (OCoLC)1081397123
  identifier: 9781838557669
  identifier: 1838557660
  identifier: 9781838552268
  identifier: 183855226X
  identifier: 9781838557669 Packt Publishing
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: EBLCP
    record creation date: 190518
    record change date: 20230110224344.1
    record identifier: in00004639363
    language of cataloging:
      language term: eng