Artificial Vision and Language Processing for Robotics

eBook Details:

• Paperback: 356 pages
• Publisher: 1789802547 (April 30, 2019)
• Language: English
• ISBN-10: 183855226X
• ISBN-13: 978-1838552268

eBook Description:

Artificial Vision and Language Processing for Robotics: Create end-to-end systems that can power robots with artificial vision and deep learning techniques

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.

• 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

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.