Artificial Vision and Language Processing for Robotics

More Information
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
About

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.

Features
  • Study ROS, the main development framework for robotics, in detail
  • Learn all about convolutional neural networks, recurrent neural networks, and robotics
  • Create a chatbot to interact with the robot
Page Count 356
Course Length 10 hours 40 minutes
ISBN 9781838552268
Date Of Publication 29 Apr 2019

Authors

Gonzalo Molina Gallego

Gonzalo Molina Gallego is a computer science graduate and specializes in artificial intelligence and natural language processing. He has experience of working on text-based dialog systems, creating conversational agents, and advising good methodologies. Currently, he is researching new techniques on hybrid-domain conversational systems. Gonzalo thinks that conversational user interfaces are the future.

Álvaro Morena Alberola

Álvaro Morena Alberola is a computer engineer and loves robotics and artificial intelligence. Currently, he is working as a software developer. He is extremely interested in the core part of AI, which is based on artificial vision. Álvaro likes working with new technologies and learning how to use advanced tools. He perceives robotics as a way of easing human lives; a way of helping people perform tasks that they cannot do on their own.

Unai Garay Maestre

Unai Garay Maestre is a computer science graduate and specializes in the field of artificial intelligence and computer vision. He successfully contributed to the CIARP conference of 2018 with a paper that takes a new approach to data augmentation using variational autoencoders. He also works as a machine learning developer using deep neural networks applied to images.